what is the purpose of your study research

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Purpose of the Study: Common Errors in Writing Your Purpose Statement

The Purpose of the Study is perhaps the single most important sentence in your dissertation. In conjunction with the Problem Statement, it guides the focus of your research. Your research questions, methodology, and data analysis are all guided by the purpose of the study.

The “Purpose of the Study” section consists of a few short paragraphs describing, aptly, the purpose of your study. Within this section is the “Purpose Statement,” which is a single sentence.

It’s the distillation of your study’s purpose, and that particular sentence will show up again and again in your paper. It generally includes (a) the research paradigm, (b) the intent of the study (such as describe, develop, explore, etc.), and (c) the phenomenon of interest.

It’s also a sentence that many students struggle with, and find themselves revising multiple times before it’s finally accepted. My goal here is to give you all the information you need to create a stellar purpose statement the first time around.

Purpose of the Study in a Single Sentence

Your purpose statement distills the purpose of your study into a single sentence. It indicates the study’s method and overarching goal. This sentence is contained in the “Purpose of the Study” section. It should be a logical, explicit research response to the stated problem (more on that later). 

Elements of the Purpose Statement: 

Include the following elements in your purpose statement:

• Identify the research method (qualitative, quantitative, or mixed-method. Usually this is as simple as saying, “the purpose of this qualitative study is…”).
• The stated purpose reflects the research questions (make sure to identify variables/constructs and the central phenomenon/concept/idea).
• Clearly state the research design.
• Ensure the purpose (as well as the method/design) is aligned with the problem statement.  
• Identify participants or other data sources. 
• Identify the geographic location of study (when relevant).

Purpose of the Study Template

For Qualitative Studies

The purpose of this quantitative study is to ___[describe, compare, explore, or develop] ____ [describe the study goal that directly reflects and encompasses the research questions] in [describe the population or data source and geographic location]. [Brief overview of how, with what instruments/data, with whom, and where]

For Quantitative Studies:

The purpose of this quantitative study is to ___[describe, compare, correlate, explore, or develop] ____ [describe the study goal that directly reflects and encompasses the research questions] in [describe the population or data source and geographic location]. [State the independent, dependent, and covariate variables]. [Brief overview of how, with what instruments/data, with whom, and where]

How Long Should the Purpose of the Study Section Be?

Speaking with a Dissertation Chair about the Purpose of the Study section, he said simply, “Don’t make it too long. State the purpose and go onto something else.” That’s good advice. 

Treat dissertation sections like testifying in court (anything you say can and will be used against you by your committee). If you’re asked, “Do you know what time it is?” the correct answer is “yes” or “no,” not “Oh yes, it’s 11:30 and I have a meeting with Charlie in half an hour.” 

Similarly, in the Statement of the Purpose section, just give the purpose, whatever is required by your university’s template, and not much else. This can be accomplished within a few pages at most.

Aligning the Purpose of the Study With the Rest of Your Paper

Keeping your paper in alignment is an extraordinarily important part of writing your dissertation. What this means is that your Problem Statement, Purpose Statement, and Research Questions all say essentially the same thing (just with different wording).

Aligning the Purpose Statement with the Problem Statement

Your problem statement should have two parts–a General Problem and a Specific Problem. The general problem is an overarching view of the problem you’re looking to address–this is what you would tell a curious person asking what you’re studying. The Specific Problem is always a gap in research. “The specific problem is that ___ is not known.”

The language that you use to fill in the blank is the same language you should use for the purpose statement. 

Problem : “The problem is that x isn’t known”

Purpose : “The purpose is to find x out”

• The problem is that we don’t know what factors influence parent involvement in schools.
• The purpose is to determine the factors that determine parent involvement in schools.
• The problem is that we don’t know the impact of Covid-19 unemployment on stock prices.
• The purpose is to determine the impact of Covid-19 unemployment on stock prices.

The professor I interviewed said, “Your committee wants to see you being consistent. ‘My problem is x. My purpose is to explore the problem.’ Period. Don’t have more than one purpose, and don’t stray from your problem statement.”

Aligning the Purpose Statement with the Research Questions

The research questions should arise directly from the purpose statement. For example:

What factors do parents report impact their involvement in schools?

To what degree is there a significant relationship between Covid-19 unemployment and stock prices?

There could be additional research questions for each of these studies, but you get the idea: ensure that your research question arises from the purpose statement and the purpose statement arises from the problem statement.  These steps create the foundation of your study, and doing it this way will ensure there is alignment.

Mistakes People Make When Writing Their Purpose Statement

• Writing the purpose statement apart from their problem statement, so the purpose doesn’t directly relate to the problem.
• Trying to take on too much in one study — too big a problem to study while you’re paying tuition. (Save those larger studies for when you’re being paid.)
• Trying to be creative with wording and thereby veering away from the problem statement.
• Creating multiple purpose statements. 

In short, you’re trying to find information that will help your field better understand a problem that’s important to you. Your job in your dissertation is to address the problem, and your purpose statement will tell us that.

Related posts:

Nicholas Tippins

Nicholas Tippins is the Founder & Executive Director of My Dissertation Editor. He has edited more dissertations than he can count. When not managing his business, he can be found playing the guitar or wandering around in the woods.

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A Practical Guide to Writing Quantitative and Qualitative Research Questions and Hypotheses in Scholarly Articles

Edward barroga.

1 Department of General Education, Graduate School of Nursing Science, St. Luke’s International University, Tokyo, Japan.

Glafera Janet Matanguihan

2 Department of Biological Sciences, Messiah University, Mechanicsburg, PA, USA.

The development of research questions and the subsequent hypotheses are prerequisites to defining the main research purpose and specific objectives of a study. Consequently, these objectives determine the study design and research outcome. The development of research questions is a process based on knowledge of current trends, cutting-edge studies, and technological advances in the research field. Excellent research questions are focused and require a comprehensive literature search and in-depth understanding of the problem being investigated. Initially, research questions may be written as descriptive questions which could be developed into inferential questions. These questions must be specific and concise to provide a clear foundation for developing hypotheses. Hypotheses are more formal predictions about the research outcomes. These specify the possible results that may or may not be expected regarding the relationship between groups. Thus, research questions and hypotheses clarify the main purpose and specific objectives of the study, which in turn dictate the design of the study, its direction, and outcome. Studies developed from good research questions and hypotheses will have trustworthy outcomes with wide-ranging social and health implications.

INTRODUCTION

Scientific research is usually initiated by posing evidenced-based research questions which are then explicitly restated as hypotheses. 1 , 2 The hypotheses provide directions to guide the study, solutions, explanations, and expected results. 3 , 4 Both research questions and hypotheses are essentially formulated based on conventional theories and real-world processes, which allow the inception of novel studies and the ethical testing of ideas. 5 , 6

It is crucial to have knowledge of both quantitative and qualitative research 2 as both types of research involve writing research questions and hypotheses. 7 However, these crucial elements of research are sometimes overlooked; if not overlooked, then framed without the forethought and meticulous attention it needs. Planning and careful consideration are needed when developing quantitative or qualitative research, particularly when conceptualizing research questions and hypotheses. 4

There is a continuing need to support researchers in the creation of innovative research questions and hypotheses, as well as for journal articles that carefully review these elements. 1 When research questions and hypotheses are not carefully thought of, unethical studies and poor outcomes usually ensue. Carefully formulated research questions and hypotheses define well-founded objectives, which in turn determine the appropriate design, course, and outcome of the study. This article then aims to discuss in detail the various aspects of crafting research questions and hypotheses, with the goal of guiding researchers as they develop their own. Examples from the authors and peer-reviewed scientific articles in the healthcare field are provided to illustrate key points.

DEFINITIONS AND RELATIONSHIP OF RESEARCH QUESTIONS AND HYPOTHESES

A research question is what a study aims to answer after data analysis and interpretation. The answer is written in length in the discussion section of the paper. Thus, the research question gives a preview of the different parts and variables of the study meant to address the problem posed in the research question. 1 An excellent research question clarifies the research writing while facilitating understanding of the research topic, objective, scope, and limitations of the study. 5

On the other hand, a research hypothesis is an educated statement of an expected outcome. This statement is based on background research and current knowledge. 8 , 9 The research hypothesis makes a specific prediction about a new phenomenon 10 or a formal statement on the expected relationship between an independent variable and a dependent variable. 3 , 11 It provides a tentative answer to the research question to be tested or explored. 4

Hypotheses employ reasoning to predict a theory-based outcome. 10 These can also be developed from theories by focusing on components of theories that have not yet been observed. 10 The validity of hypotheses is often based on the testability of the prediction made in a reproducible experiment. 8

Conversely, hypotheses can also be rephrased as research questions. Several hypotheses based on existing theories and knowledge may be needed to answer a research question. Developing ethical research questions and hypotheses creates a research design that has logical relationships among variables. These relationships serve as a solid foundation for the conduct of the study. 4 , 11 Haphazardly constructed research questions can result in poorly formulated hypotheses and improper study designs, leading to unreliable results. Thus, the formulations of relevant research questions and verifiable hypotheses are crucial when beginning research. 12

CHARACTERISTICS OF GOOD RESEARCH QUESTIONS AND HYPOTHESES

Excellent research questions are specific and focused. These integrate collective data and observations to confirm or refute the subsequent hypotheses. Well-constructed hypotheses are based on previous reports and verify the research context. These are realistic, in-depth, sufficiently complex, and reproducible. More importantly, these hypotheses can be addressed and tested. 13

There are several characteristics of well-developed hypotheses. Good hypotheses are 1) empirically testable 7 , 10 , 11 , 13 ; 2) backed by preliminary evidence 9 ; 3) testable by ethical research 7 , 9 ; 4) based on original ideas 9 ; 5) have evidenced-based logical reasoning 10 ; and 6) can be predicted. 11 Good hypotheses can infer ethical and positive implications, indicating the presence of a relationship or effect relevant to the research theme. 7 , 11 These are initially developed from a general theory and branch into specific hypotheses by deductive reasoning. In the absence of a theory to base the hypotheses, inductive reasoning based on specific observations or findings form more general hypotheses. 10

TYPES OF RESEARCH QUESTIONS AND HYPOTHESES

Research questions and hypotheses are developed according to the type of research, which can be broadly classified into quantitative and qualitative research. We provide a summary of the types of research questions and hypotheses under quantitative and qualitative research categories in Table 1 .

Research questions in quantitative research

In quantitative research, research questions inquire about the relationships among variables being investigated and are usually framed at the start of the study. These are precise and typically linked to the subject population, dependent and independent variables, and research design. 1 Research questions may also attempt to describe the behavior of a population in relation to one or more variables, or describe the characteristics of variables to be measured ( descriptive research questions ). 1 , 5 , 14 These questions may also aim to discover differences between groups within the context of an outcome variable ( comparative research questions ), 1 , 5 , 14 or elucidate trends and interactions among variables ( relationship research questions ). 1 , 5 We provide examples of descriptive, comparative, and relationship research questions in quantitative research in Table 2 .

Hypotheses in quantitative research

In quantitative research, hypotheses predict the expected relationships among variables. 15 Relationships among variables that can be predicted include 1) between a single dependent variable and a single independent variable ( simple hypothesis ) or 2) between two or more independent and dependent variables ( complex hypothesis ). 4 , 11 Hypotheses may also specify the expected direction to be followed and imply an intellectual commitment to a particular outcome ( directional hypothesis ) 4 . On the other hand, hypotheses may not predict the exact direction and are used in the absence of a theory, or when findings contradict previous studies ( non-directional hypothesis ). 4 In addition, hypotheses can 1) define interdependency between variables ( associative hypothesis ), 4 2) propose an effect on the dependent variable from manipulation of the independent variable ( causal hypothesis ), 4 3) state a negative relationship between two variables ( null hypothesis ), 4 , 11 , 15 4) replace the working hypothesis if rejected ( alternative hypothesis ), 15 explain the relationship of phenomena to possibly generate a theory ( working hypothesis ), 11 5) involve quantifiable variables that can be tested statistically ( statistical hypothesis ), 11 6) or express a relationship whose interlinks can be verified logically ( logical hypothesis ). 11 We provide examples of simple, complex, directional, non-directional, associative, causal, null, alternative, working, statistical, and logical hypotheses in quantitative research, as well as the definition of quantitative hypothesis-testing research in Table 3 .

Research questions in qualitative research

Unlike research questions in quantitative research, research questions in qualitative research are usually continuously reviewed and reformulated. The central question and associated subquestions are stated more than the hypotheses. 15 The central question broadly explores a complex set of factors surrounding the central phenomenon, aiming to present the varied perspectives of participants. 15

There are varied goals for which qualitative research questions are developed. These questions can function in several ways, such as to 1) identify and describe existing conditions ( contextual research question s); 2) describe a phenomenon ( descriptive research questions ); 3) assess the effectiveness of existing methods, protocols, theories, or procedures ( evaluation research questions ); 4) examine a phenomenon or analyze the reasons or relationships between subjects or phenomena ( explanatory research questions ); or 5) focus on unknown aspects of a particular topic ( exploratory research questions ). 5 In addition, some qualitative research questions provide new ideas for the development of theories and actions ( generative research questions ) or advance specific ideologies of a position ( ideological research questions ). 1 Other qualitative research questions may build on a body of existing literature and become working guidelines ( ethnographic research questions ). Research questions may also be broadly stated without specific reference to the existing literature or a typology of questions ( phenomenological research questions ), may be directed towards generating a theory of some process ( grounded theory questions ), or may address a description of the case and the emerging themes ( qualitative case study questions ). 15 We provide examples of contextual, descriptive, evaluation, explanatory, exploratory, generative, ideological, ethnographic, phenomenological, grounded theory, and qualitative case study research questions in qualitative research in Table 4 , and the definition of qualitative hypothesis-generating research in Table 5 .

Qualitative studies usually pose at least one central research question and several subquestions starting with How or What . These research questions use exploratory verbs such as explore or describe . These also focus on one central phenomenon of interest, and may mention the participants and research site. 15

Hypotheses in qualitative research

Hypotheses in qualitative research are stated in the form of a clear statement concerning the problem to be investigated. Unlike in quantitative research where hypotheses are usually developed to be tested, qualitative research can lead to both hypothesis-testing and hypothesis-generating outcomes. 2 When studies require both quantitative and qualitative research questions, this suggests an integrative process between both research methods wherein a single mixed-methods research question can be developed. 1

FRAMEWORKS FOR DEVELOPING RESEARCH QUESTIONS AND HYPOTHESES

Research questions followed by hypotheses should be developed before the start of the study. 1 , 12 , 14 It is crucial to develop feasible research questions on a topic that is interesting to both the researcher and the scientific community. This can be achieved by a meticulous review of previous and current studies to establish a novel topic. Specific areas are subsequently focused on to generate ethical research questions. The relevance of the research questions is evaluated in terms of clarity of the resulting data, specificity of the methodology, objectivity of the outcome, depth of the research, and impact of the study. 1 , 5 These aspects constitute the FINER criteria (i.e., Feasible, Interesting, Novel, Ethical, and Relevant). 1 Clarity and effectiveness are achieved if research questions meet the FINER criteria. In addition to the FINER criteria, Ratan et al. described focus, complexity, novelty, feasibility, and measurability for evaluating the effectiveness of research questions. 14

The PICOT and PEO frameworks are also used when developing research questions. 1 The following elements are addressed in these frameworks, PICOT: P-population/patients/problem, I-intervention or indicator being studied, C-comparison group, O-outcome of interest, and T-timeframe of the study; PEO: P-population being studied, E-exposure to preexisting conditions, and O-outcome of interest. 1 Research questions are also considered good if these meet the “FINERMAPS” framework: Feasible, Interesting, Novel, Ethical, Relevant, Manageable, Appropriate, Potential value/publishable, and Systematic. 14

As we indicated earlier, research questions and hypotheses that are not carefully formulated result in unethical studies or poor outcomes. To illustrate this, we provide some examples of ambiguous research question and hypotheses that result in unclear and weak research objectives in quantitative research ( Table 6 ) 16 and qualitative research ( Table 7 ) 17 , and how to transform these ambiguous research question(s) and hypothesis(es) into clear and good statements.

a These statements were composed for comparison and illustrative purposes only.

b These statements are direct quotes from Higashihara and Horiuchi. 16

a This statement is a direct quote from Shimoda et al. 17

The other statements were composed for comparison and illustrative purposes only.

CONSTRUCTING RESEARCH QUESTIONS AND HYPOTHESES

To construct effective research questions and hypotheses, it is very important to 1) clarify the background and 2) identify the research problem at the outset of the research, within a specific timeframe. 9 Then, 3) review or conduct preliminary research to collect all available knowledge about the possible research questions by studying theories and previous studies. 18 Afterwards, 4) construct research questions to investigate the research problem. Identify variables to be accessed from the research questions 4 and make operational definitions of constructs from the research problem and questions. Thereafter, 5) construct specific deductive or inductive predictions in the form of hypotheses. 4 Finally, 6) state the study aims . This general flow for constructing effective research questions and hypotheses prior to conducting research is shown in Fig. 1 .

Research questions are used more frequently in qualitative research than objectives or hypotheses. 3 These questions seek to discover, understand, explore or describe experiences by asking “What” or “How.” The questions are open-ended to elicit a description rather than to relate variables or compare groups. The questions are continually reviewed, reformulated, and changed during the qualitative study. 3 Research questions are also used more frequently in survey projects than hypotheses in experiments in quantitative research to compare variables and their relationships.

Hypotheses are constructed based on the variables identified and as an if-then statement, following the template, ‘If a specific action is taken, then a certain outcome is expected.’ At this stage, some ideas regarding expectations from the research to be conducted must be drawn. 18 Then, the variables to be manipulated (independent) and influenced (dependent) are defined. 4 Thereafter, the hypothesis is stated and refined, and reproducible data tailored to the hypothesis are identified, collected, and analyzed. 4 The hypotheses must be testable and specific, 18 and should describe the variables and their relationships, the specific group being studied, and the predicted research outcome. 18 Hypotheses construction involves a testable proposition to be deduced from theory, and independent and dependent variables to be separated and measured separately. 3 Therefore, good hypotheses must be based on good research questions constructed at the start of a study or trial. 12

In summary, research questions are constructed after establishing the background of the study. Hypotheses are then developed based on the research questions. Thus, it is crucial to have excellent research questions to generate superior hypotheses. In turn, these would determine the research objectives and the design of the study, and ultimately, the outcome of the research. 12 Algorithms for building research questions and hypotheses are shown in Fig. 2 for quantitative research and in Fig. 3 for qualitative research.

EXAMPLES OF RESEARCH QUESTIONS FROM PUBLISHED ARTICLES

• EXAMPLE 1. Descriptive research question (quantitative research)
• - Presents research variables to be assessed (distinct phenotypes and subphenotypes)
• “BACKGROUND: Since COVID-19 was identified, its clinical and biological heterogeneity has been recognized. Identifying COVID-19 phenotypes might help guide basic, clinical, and translational research efforts.
• RESEARCH QUESTION: Does the clinical spectrum of patients with COVID-19 contain distinct phenotypes and subphenotypes? ” 19
• EXAMPLE 2. Relationship research question (quantitative research)
• - Shows interactions between dependent variable (static postural control) and independent variable (peripheral visual field loss)
• “Background: Integration of visual, vestibular, and proprioceptive sensations contributes to postural control. People with peripheral visual field loss have serious postural instability. However, the directional specificity of postural stability and sensory reweighting caused by gradual peripheral visual field loss remain unclear.
• Research question: What are the effects of peripheral visual field loss on static postural control ?” 20
• EXAMPLE 3. Comparative research question (quantitative research)
• - Clarifies the difference among groups with an outcome variable (patients enrolled in COMPERA with moderate PH or severe PH in COPD) and another group without the outcome variable (patients with idiopathic pulmonary arterial hypertension (IPAH))
• “BACKGROUND: Pulmonary hypertension (PH) in COPD is a poorly investigated clinical condition.
• RESEARCH QUESTION: Which factors determine the outcome of PH in COPD?
• STUDY DESIGN AND METHODS: We analyzed the characteristics and outcome of patients enrolled in the Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension (COMPERA) with moderate or severe PH in COPD as defined during the 6th PH World Symposium who received medical therapy for PH and compared them with patients with idiopathic pulmonary arterial hypertension (IPAH) .” 21
• EXAMPLE 4. Exploratory research question (qualitative research)
• - Explores areas that have not been fully investigated (perspectives of families and children who receive care in clinic-based child obesity treatment) to have a deeper understanding of the research problem
• “Problem: Interventions for children with obesity lead to only modest improvements in BMI and long-term outcomes, and data are limited on the perspectives of families of children with obesity in clinic-based treatment. This scoping review seeks to answer the question: What is known about the perspectives of families and children who receive care in clinic-based child obesity treatment? This review aims to explore the scope of perspectives reported by families of children with obesity who have received individualized outpatient clinic-based obesity treatment.” 22
• EXAMPLE 5. Relationship research question (quantitative research)
• - Defines interactions between dependent variable (use of ankle strategies) and independent variable (changes in muscle tone)
• “Background: To maintain an upright standing posture against external disturbances, the human body mainly employs two types of postural control strategies: “ankle strategy” and “hip strategy.” While it has been reported that the magnitude of the disturbance alters the use of postural control strategies, it has not been elucidated how the level of muscle tone, one of the crucial parameters of bodily function, determines the use of each strategy. We have previously confirmed using forward dynamics simulations of human musculoskeletal models that an increased muscle tone promotes the use of ankle strategies. The objective of the present study was to experimentally evaluate a hypothesis: an increased muscle tone promotes the use of ankle strategies. Research question: Do changes in the muscle tone affect the use of ankle strategies ?” 23

EXAMPLES OF HYPOTHESES IN PUBLISHED ARTICLES

• EXAMPLE 1. Working hypothesis (quantitative research)
• - A hypothesis that is initially accepted for further research to produce a feasible theory
• “As fever may have benefit in shortening the duration of viral illness, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response when taken during the early stages of COVID-19 illness .” 24
• “In conclusion, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response . The difference in perceived safety of these agents in COVID-19 illness could be related to the more potent efficacy to reduce fever with ibuprofen compared to acetaminophen. Compelling data on the benefit of fever warrant further research and review to determine when to treat or withhold ibuprofen for early stage fever for COVID-19 and other related viral illnesses .” 24
• EXAMPLE 2. Exploratory hypothesis (qualitative research)
• - Explores particular areas deeper to clarify subjective experience and develop a formal hypothesis potentially testable in a future quantitative approach
• “We hypothesized that when thinking about a past experience of help-seeking, a self distancing prompt would cause increased help-seeking intentions and more favorable help-seeking outcome expectations .” 25
• “Conclusion
• Although a priori hypotheses were not supported, further research is warranted as results indicate the potential for using self-distancing approaches to increasing help-seeking among some people with depressive symptomatology.” 25
• EXAMPLE 3. Hypothesis-generating research to establish a framework for hypothesis testing (qualitative research)
• “We hypothesize that compassionate care is beneficial for patients (better outcomes), healthcare systems and payers (lower costs), and healthcare providers (lower burnout). ” 26
• Compassionomics is the branch of knowledge and scientific study of the effects of compassionate healthcare. Our main hypotheses are that compassionate healthcare is beneficial for (1) patients, by improving clinical outcomes, (2) healthcare systems and payers, by supporting financial sustainability, and (3) HCPs, by lowering burnout and promoting resilience and well-being. The purpose of this paper is to establish a scientific framework for testing the hypotheses above . If these hypotheses are confirmed through rigorous research, compassionomics will belong in the science of evidence-based medicine, with major implications for all healthcare domains.” 26
• EXAMPLE 4. Statistical hypothesis (quantitative research)
• - An assumption is made about the relationship among several population characteristics ( gender differences in sociodemographic and clinical characteristics of adults with ADHD ). Validity is tested by statistical experiment or analysis ( chi-square test, Students t-test, and logistic regression analysis)
• “Our research investigated gender differences in sociodemographic and clinical characteristics of adults with ADHD in a Japanese clinical sample. Due to unique Japanese cultural ideals and expectations of women's behavior that are in opposition to ADHD symptoms, we hypothesized that women with ADHD experience more difficulties and present more dysfunctions than men . We tested the following hypotheses: first, women with ADHD have more comorbidities than men with ADHD; second, women with ADHD experience more social hardships than men, such as having less full-time employment and being more likely to be divorced.” 27
• “Statistical Analysis
• ( text omitted ) Between-gender comparisons were made using the chi-squared test for categorical variables and Students t-test for continuous variables…( text omitted ). A logistic regression analysis was performed for employment status, marital status, and comorbidity to evaluate the independent effects of gender on these dependent variables.” 27

EXAMPLES OF HYPOTHESIS AS WRITTEN IN PUBLISHED ARTICLES IN RELATION TO OTHER PARTS

• EXAMPLE 1. Background, hypotheses, and aims are provided
• “Pregnant women need skilled care during pregnancy and childbirth, but that skilled care is often delayed in some countries …( text omitted ). The focused antenatal care (FANC) model of WHO recommends that nurses provide information or counseling to all pregnant women …( text omitted ). Job aids are visual support materials that provide the right kind of information using graphics and words in a simple and yet effective manner. When nurses are not highly trained or have many work details to attend to, these job aids can serve as a content reminder for the nurses and can be used for educating their patients (Jennings, Yebadokpo, Affo, & Agbogbe, 2010) ( text omitted ). Importantly, additional evidence is needed to confirm how job aids can further improve the quality of ANC counseling by health workers in maternal care …( text omitted )” 28
• “ This has led us to hypothesize that the quality of ANC counseling would be better if supported by job aids. Consequently, a better quality of ANC counseling is expected to produce higher levels of awareness concerning the danger signs of pregnancy and a more favorable impression of the caring behavior of nurses .” 28
• “This study aimed to examine the differences in the responses of pregnant women to a job aid-supported intervention during ANC visit in terms of 1) their understanding of the danger signs of pregnancy and 2) their impression of the caring behaviors of nurses to pregnant women in rural Tanzania.” 28
• EXAMPLE 2. Background, hypotheses, and aims are provided
• “We conducted a two-arm randomized controlled trial (RCT) to evaluate and compare changes in salivary cortisol and oxytocin levels of first-time pregnant women between experimental and control groups. The women in the experimental group touched and held an infant for 30 min (experimental intervention protocol), whereas those in the control group watched a DVD movie of an infant (control intervention protocol). The primary outcome was salivary cortisol level and the secondary outcome was salivary oxytocin level.” 29
• “ We hypothesize that at 30 min after touching and holding an infant, the salivary cortisol level will significantly decrease and the salivary oxytocin level will increase in the experimental group compared with the control group .” 29
• EXAMPLE 3. Background, aim, and hypothesis are provided
• “In countries where the maternal mortality ratio remains high, antenatal education to increase Birth Preparedness and Complication Readiness (BPCR) is considered one of the top priorities [1]. BPCR includes birth plans during the antenatal period, such as the birthplace, birth attendant, transportation, health facility for complications, expenses, and birth materials, as well as family coordination to achieve such birth plans. In Tanzania, although increasing, only about half of all pregnant women attend an antenatal clinic more than four times [4]. Moreover, the information provided during antenatal care (ANC) is insufficient. In the resource-poor settings, antenatal group education is a potential approach because of the limited time for individual counseling at antenatal clinics.” 30
• “This study aimed to evaluate an antenatal group education program among pregnant women and their families with respect to birth-preparedness and maternal and infant outcomes in rural villages of Tanzania.” 30
• “ The study hypothesis was if Tanzanian pregnant women and their families received a family-oriented antenatal group education, they would (1) have a higher level of BPCR, (2) attend antenatal clinic four or more times, (3) give birth in a health facility, (4) have less complications of women at birth, and (5) have less complications and deaths of infants than those who did not receive the education .” 30

Research questions and hypotheses are crucial components to any type of research, whether quantitative or qualitative. These questions should be developed at the very beginning of the study. Excellent research questions lead to superior hypotheses, which, like a compass, set the direction of research, and can often determine the successful conduct of the study. Many research studies have floundered because the development of research questions and subsequent hypotheses was not given the thought and meticulous attention needed. The development of research questions and hypotheses is an iterative process based on extensive knowledge of the literature and insightful grasp of the knowledge gap. Focused, concise, and specific research questions provide a strong foundation for constructing hypotheses which serve as formal predictions about the research outcomes. Research questions and hypotheses are crucial elements of research that should not be overlooked. They should be carefully thought of and constructed when planning research. This avoids unethical studies and poor outcomes by defining well-founded objectives that determine the design, course, and outcome of the study.

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions:

• Conceptualization: Barroga E, Matanguihan GJ.
• Methodology: Barroga E, Matanguihan GJ.
• Writing - original draft: Barroga E, Matanguihan GJ.
• Writing - review & editing: Barroga E, Matanguihan GJ.

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Home » Significance of the Study – Examples and Writing Guide

Significance of the Study – Examples and Writing Guide

Table of Contents

Significance of the Study

Definition:

Significance of the study in research refers to the potential importance, relevance, or impact of the research findings. It outlines how the research contributes to the existing body of knowledge, what gaps it fills, or what new understanding it brings to a particular field of study.

In general, the significance of a study can be assessed based on several factors, including:

• Originality : The extent to which the study advances existing knowledge or introduces new ideas and perspectives.
• Practical relevance: The potential implications of the study for real-world situations, such as improving policy or practice.
• Theoretical contribution: The extent to which the study provides new insights or perspectives on theoretical concepts or frameworks.
• Methodological rigor : The extent to which the study employs appropriate and robust methods and techniques to generate reliable and valid data.
• Social or cultural impact : The potential impact of the study on society, culture, or public perception of a particular issue.

Types of Significance of the Study

The significance of the Study can be divided into the following types:

Theoretical Significance

Theoretical significance refers to the contribution that a study makes to the existing body of theories in a specific field. This could be by confirming, refuting, or adding nuance to a currently accepted theory, or by proposing an entirely new theory.

Practical Significance

Practical significance refers to the direct applicability and usefulness of the research findings in real-world contexts. Studies with practical significance often address real-life problems and offer potential solutions or strategies. For example, a study in the field of public health might identify a new intervention that significantly reduces the spread of a certain disease.

Significance for Future Research

This pertains to the potential of a study to inspire further research. A study might open up new areas of investigation, provide new research methodologies, or propose new hypotheses that need to be tested.

How to Write Significance of the Study

Here’s a guide to writing an effective “Significance of the Study” section in research paper, thesis, or dissertation:

• Background : Begin by giving some context about your study. This could include a brief introduction to your subject area, the current state of research in the field, and the specific problem or question your study addresses.
• Identify the Gap : Demonstrate that there’s a gap in the existing literature or knowledge that needs to be filled, which is where your study comes in. The gap could be a lack of research on a particular topic, differing results in existing studies, or a new problem that has arisen and hasn’t yet been studied.
• State the Purpose of Your Study : Clearly state the main objective of your research. You may want to state the purpose as a solution to the problem or gap you’ve previously identified.
• Contributes to the existing body of knowledge.
• Addresses a significant research gap.
• Offers a new or better solution to a problem.
• Impacts policy or practice.
• Leads to improvements in a particular field or sector.
• Identify Beneficiaries : Identify who will benefit from your study. This could include other researchers, practitioners in your field, policy-makers, communities, businesses, or others. Explain how your findings could be used and by whom.
• Future Implications : Discuss the implications of your study for future research. This could involve questions that are left open, new questions that have been raised, or potential future methodologies suggested by your study.

Significance of the Study in Research Paper

The Significance of the Study in a research paper refers to the importance or relevance of the research topic being investigated. It answers the question “Why is this research important?” and highlights the potential contributions and impacts of the study.

The significance of the study can be presented in the introduction or background section of a research paper. It typically includes the following components:

• Importance of the research problem: This describes why the research problem is worth investigating and how it relates to existing knowledge and theories.
• Potential benefits and implications: This explains the potential contributions and impacts of the research on theory, practice, policy, or society.
• Originality and novelty: This highlights how the research adds new insights, approaches, or methods to the existing body of knowledge.
• Scope and limitations: This outlines the boundaries and constraints of the research and clarifies what the study will and will not address.

Suppose a researcher is conducting a study on the “Effects of social media use on the mental health of adolescents”.

The significance of the study may be:

“The present study is significant because it addresses a pressing public health issue of the negative impact of social media use on adolescent mental health. Given the widespread use of social media among this age group, understanding the effects of social media on mental health is critical for developing effective prevention and intervention strategies. This study will contribute to the existing literature by examining the moderating factors that may affect the relationship between social media use and mental health outcomes. It will also shed light on the potential benefits and risks of social media use for adolescents and inform the development of evidence-based guidelines for promoting healthy social media use among this population. The limitations of this study include the use of self-reported measures and the cross-sectional design, which precludes causal inference.”

Significance of the Study In Thesis

The significance of the study in a thesis refers to the importance or relevance of the research topic and the potential impact of the study on the field of study or society as a whole. It explains why the research is worth doing and what contribution it will make to existing knowledge.

For example, the significance of a thesis on “Artificial Intelligence in Healthcare” could be:

• With the increasing availability of healthcare data and the development of advanced machine learning algorithms, AI has the potential to revolutionize the healthcare industry by improving diagnosis, treatment, and patient outcomes. Therefore, this thesis can contribute to the understanding of how AI can be applied in healthcare and how it can benefit patients and healthcare providers.
• AI in healthcare also raises ethical and social issues, such as privacy concerns, bias in algorithms, and the impact on healthcare jobs. By exploring these issues in the thesis, it can provide insights into the potential risks and benefits of AI in healthcare and inform policy decisions.
• Finally, the thesis can also advance the field of computer science by developing new AI algorithms or techniques that can be applied to healthcare data, which can have broader applications in other industries or fields of research.

Significance of the Study in Research Proposal

The significance of a study in a research proposal refers to the importance or relevance of the research question, problem, or objective that the study aims to address. It explains why the research is valuable, relevant, and important to the academic or scientific community, policymakers, or society at large. A strong statement of significance can help to persuade the reviewers or funders of the research proposal that the study is worth funding and conducting.

Here is an example of a significance statement in a research proposal:

Title : The Effects of Gamification on Learning Programming: A Comparative Study

Significance Statement:

This proposed study aims to investigate the effects of gamification on learning programming. With the increasing demand for computer science professionals, programming has become a fundamental skill in the computer field. However, learning programming can be challenging, and students may struggle with motivation and engagement. Gamification has emerged as a promising approach to improve students’ engagement and motivation in learning, but its effects on programming education are not yet fully understood. This study is significant because it can provide valuable insights into the potential benefits of gamification in programming education and inform the development of effective teaching strategies to enhance students’ learning outcomes and interest in programming.

Examples of Significance of the Study

Here are some examples of the significance of a study that indicates how you can write this into your research paper according to your research topic:

Research on an Improved Water Filtration System : This study has the potential to impact millions of people living in water-scarce regions or those with limited access to clean water. A more efficient and affordable water filtration system can reduce water-borne diseases and improve the overall health of communities, enabling them to lead healthier, more productive lives.

Study on the Impact of Remote Work on Employee Productivity : Given the shift towards remote work due to recent events such as the COVID-19 pandemic, this study is of considerable significance. Findings could help organizations better structure their remote work policies and offer insights on how to maximize employee productivity, wellbeing, and job satisfaction.

Investigation into the Use of Solar Power in Developing Countries : With the world increasingly moving towards renewable energy, this study could provide important data on the feasibility and benefits of implementing solar power solutions in developing countries. This could potentially stimulate economic growth, reduce reliance on non-renewable resources, and contribute to global efforts to combat climate change.

Research on New Learning Strategies in Special Education : This study has the potential to greatly impact the field of special education. By understanding the effectiveness of new learning strategies, educators can improve their curriculum to provide better support for students with learning disabilities, fostering their academic growth and social development.

Examination of Mental Health Support in the Workplace : This study could highlight the impact of mental health initiatives on employee wellbeing and productivity. It could influence organizational policies across industries, promoting the implementation of mental health programs in the workplace, ultimately leading to healthier work environments.

Evaluation of a New Cancer Treatment Method : The significance of this study could be lifesaving. The research could lead to the development of more effective cancer treatments, increasing the survival rate and quality of life for patients worldwide.

When to Write Significance of the Study

The Significance of the Study section is an integral part of a research proposal or a thesis. This section is typically written after the introduction and the literature review. In the research process, the structure typically follows this order:

• Title – The name of your research.
• Abstract – A brief summary of the entire research.
• Introduction – A presentation of the problem your research aims to solve.
• Literature Review – A review of existing research on the topic to establish what is already known and where gaps exist.
• Significance of the Study – An explanation of why the research matters and its potential impact.

In the Significance of the Study section, you will discuss why your study is important, who it benefits, and how it adds to existing knowledge or practice in your field. This section is your opportunity to convince readers, and potentially funders or supervisors, that your research is valuable and worth undertaking.

Advantages of Significance of the Study

The Significance of the Study section in a research paper has multiple advantages:

• Establishes Relevance: This section helps to articulate the importance of your research to your field of study, as well as the wider society, by explicitly stating its relevance. This makes it easier for other researchers, funders, and policymakers to understand why your work is necessary and worth supporting.
• Guides the Research: Writing the significance can help you refine your research questions and objectives. This happens as you critically think about why your research is important and how it contributes to your field.
• Attracts Funding: If you are seeking funding or support for your research, having a well-written significance of the study section can be key. It helps to convince potential funders of the value of your work.
• Opens up Further Research: By stating the significance of the study, you’re also indicating what further research could be carried out in the future, based on your work. This helps to pave the way for future studies and demonstrates that your research is a valuable addition to the field.
• Provides Practical Applications: The significance of the study section often outlines how the research can be applied in real-world situations. This can be particularly important in applied sciences, where the practical implications of research are crucial.
• Enhances Understanding: This section can help readers understand how your study fits into the broader context of your field, adding value to the existing literature and contributing new knowledge or insights.

Limitations of Significance of the Study

The Significance of the Study section plays an essential role in any research. However, it is not without potential limitations. Here are some that you should be aware of:

• Subjectivity: The importance and implications of a study can be subjective and may vary from person to person. What one researcher considers significant might be seen as less critical by others. The assessment of significance often depends on personal judgement, biases, and perspectives.
• Predictability of Impact: While you can outline the potential implications of your research in the Significance of the Study section, the actual impact can be unpredictable. Research doesn’t always yield the expected results or have the predicted impact on the field or society.
• Difficulty in Measuring: The significance of a study is often qualitative and can be challenging to measure or quantify. You can explain how you think your research will contribute to your field or society, but measuring these outcomes can be complex.
• Possibility of Overstatement: Researchers may feel pressured to amplify the potential significance of their study to attract funding or interest. This can lead to overstating the potential benefits or implications, which can harm the credibility of the study if these results are not achieved.
• Overshadowing of Limitations: Sometimes, the significance of the study may overshadow the limitations of the research. It is important to balance the potential significance with a thorough discussion of the study’s limitations.
• Dependence on Successful Implementation: The significance of the study relies on the successful implementation of the research. If the research process has flaws or unexpected issues arise, the anticipated significance might not be realized.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Home Market Research

What is Research: Definition, Methods, Types & Examples

The search for knowledge is closely linked to the object of study; that is, to the reconstruction of the facts that will provide an explanation to an observed event and that at first sight can be considered as a problem. It is very human to seek answers and satisfy our curiosity. Let’s talk about research.

Content Index

What is Research?

What are the characteristics of research.

• Comparative analysis chart

Qualitative methods

Quantitative methods, 8 tips for conducting accurate research.

Research is the careful consideration of study regarding a particular concern or research problem using scientific methods. According to the American sociologist Earl Robert Babbie, “research is a systematic inquiry to describe, explain, predict, and control the observed phenomenon. It involves inductive and deductive methods.”

Inductive methods analyze an observed event, while deductive methods verify the observed event. Inductive approaches are associated with qualitative research , and deductive methods are more commonly associated with quantitative analysis .

Research is conducted with a purpose to:

• Identify potential and new customers
• Understand existing customers
• Set pragmatic goals
• Develop productive market strategies
• Address business challenges
• Put together a business expansion plan
• Identify new business opportunities
• Good research follows a systematic approach to capture accurate data. Researchers need to practice ethics and a code of conduct while making observations or drawing conclusions.
• The analysis is based on logical reasoning and involves both inductive and deductive methods.
• Real-time data and knowledge is derived from actual observations in natural settings.
• There is an in-depth analysis of all data collected so that there are no anomalies associated with it.
• It creates a path for generating new questions. Existing data helps create more research opportunities.
• It is analytical and uses all the available data so that there is no ambiguity in inference.
• Accuracy is one of the most critical aspects of research. The information must be accurate and correct. For example, laboratories provide a controlled environment to collect data. Accuracy is measured in the instruments used, the calibrations of instruments or tools, and the experiment’s final result.

What is the purpose of research?

There are three main purposes:

• Exploratory: As the name suggests, researchers conduct exploratory studies to explore a group of questions. The answers and analytics may not offer a conclusion to the perceived problem. It is undertaken to handle new problem areas that haven’t been explored before. This exploratory data analysis process lays the foundation for more conclusive data collection and analysis.

LEARN ABOUT: Descriptive Analysis

• Descriptive: It focuses on expanding knowledge on current issues through a process of data collection. Descriptive research describe the behavior of a sample population. Only one variable is required to conduct the study. The three primary purposes of descriptive studies are describing, explaining, and validating the findings. For example, a study conducted to know if top-level management leaders in the 21st century possess the moral right to receive a considerable sum of money from the company profit.

LEARN ABOUT: Best Data Collection Tools

• Explanatory: Causal research or explanatory research is conducted to understand the impact of specific changes in existing standard procedures. Running experiments is the most popular form. For example, a study that is conducted to understand the effect of rebranding on customer loyalty.

Here is a comparative analysis chart for a better understanding:

It begins by asking the right questions and choosing an appropriate method to investigate the problem. After collecting answers to your questions, you can analyze the findings or observations to draw reasonable conclusions.

When it comes to customers and market studies, the more thorough your questions, the better the analysis. You get essential insights into brand perception and product needs by thoroughly collecting customer data through surveys and questionnaires . You can use this data to make smart decisions about your marketing strategies to position your business effectively.

To make sense of your study and get insights faster, it helps to use a research repository as a single source of truth in your organization and manage your research data in one centralized data repository .

Types of research methods and Examples

Research methods are broadly classified as Qualitative and Quantitative .

Both methods have distinctive properties and data collection methods .

Qualitative research is a method that collects data using conversational methods, usually open-ended questions . The responses collected are essentially non-numerical. This method helps a researcher understand what participants think and why they think in a particular way.

Types of qualitative methods include:

• One-to-one Interview
• Focus Groups
• Ethnographic studies
• Text Analysis

Quantitative methods deal with numbers and measurable forms . It uses a systematic way of investigating events or data. It answers questions to justify relationships with measurable variables to either explain, predict, or control a phenomenon.

Types of quantitative methods include:

• Survey research
• Descriptive research
• Correlational research

LEARN MORE: Descriptive Research vs Correlational Research

Remember, it is only valuable and useful when it is valid, accurate, and reliable. Incorrect results can lead to customer churn and a decrease in sales.

It is essential to ensure that your data is:

• Valid – founded, logical, rigorous, and impartial.
• Accurate – free of errors and including required details.
• Reliable – other people who investigate in the same way can produce similar results.
• Timely – current and collected within an appropriate time frame.
• Complete – includes all the data you need to support your business decisions.

Gather insights

• Identify the main trends and issues, opportunities, and problems you observe. Write a sentence describing each one.
• Keep track of the frequency with which each of the main findings appears.
• Make a list of your findings from the most common to the least common.
• Evaluate a list of the strengths, weaknesses, opportunities, and threats identified in a SWOT analysis .
• Prepare conclusions and recommendations about your study.
• Act on your strategies
• Look for gaps in the information, and consider doing additional inquiry if necessary
• Plan to review the results and consider efficient methods to analyze and interpret results.

Review your goals before making any conclusions about your study. Remember how the process you have completed and the data you have gathered help answer your questions. Ask yourself if what your analysis revealed facilitates the identification of your conclusions and recommendations.

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What Is Research, and Why Do People Do It?

• Open Access
• First Online: 03 December 2022

Cite this chapter

You have full access to this open access chapter

• James Hiebert 6 ,
• Jinfa Cai 7 ,
• Stephen Hwang 7 ,
• Anne K Morris 6 &
• Charles Hohensee 6  

Part of the book series: Research in Mathematics Education ((RME))

18k Accesses

Abstractspiepr Abs1

Every day people do research as they gather information to learn about something of interest. In the scientific world, however, research means something different than simply gathering information. Scientific research is characterized by its careful planning and observing, by its relentless efforts to understand and explain, and by its commitment to learn from everyone else seriously engaged in research. We call this kind of research scientific inquiry and define it as “formulating, testing, and revising hypotheses.” By “hypotheses” we do not mean the hypotheses you encounter in statistics courses. We mean predictions about what you expect to find and rationales for why you made these predictions. Throughout this and the remaining chapters we make clear that the process of scientific inquiry applies to all kinds of research studies and data, both qualitative and quantitative.

You have full access to this open access chapter,  Download chapter PDF

Part I. What Is Research?

Have you ever studied something carefully because you wanted to know more about it? Maybe you wanted to know more about your grandmother’s life when she was younger so you asked her to tell you stories from her childhood, or maybe you wanted to know more about a fertilizer you were about to use in your garden so you read the ingredients on the package and looked them up online. According to the dictionary definition, you were doing research.

Recall your high school assignments asking you to “research” a topic. The assignment likely included consulting a variety of sources that discussed the topic, perhaps including some “original” sources. Often, the teacher referred to your product as a “research paper.”

Were you conducting research when you interviewed your grandmother or wrote high school papers reviewing a particular topic? Our view is that you were engaged in part of the research process, but only a small part. In this book, we reserve the word “research” for what it means in the scientific world, that is, for scientific research or, more pointedly, for scientific inquiry .

Exercise 1.1

Before you read any further, write a definition of what you think scientific inquiry is. Keep it short—Two to three sentences. You will periodically update this definition as you read this chapter and the remainder of the book.

This book is about scientific inquiry—what it is and how to do it. For starters, scientific inquiry is a process, a particular way of finding out about something that involves a number of phases. Each phase of the process constitutes one aspect of scientific inquiry. You are doing scientific inquiry as you engage in each phase, but you have not done scientific inquiry until you complete the full process. Each phase is necessary but not sufficient.

In this chapter, we set the stage by defining scientific inquiry—describing what it is and what it is not—and by discussing what it is good for and why people do it. The remaining chapters build directly on the ideas presented in this chapter.

A first thing to know is that scientific inquiry is not all or nothing. “Scientificness” is a continuum. Inquiries can be more scientific or less scientific. What makes an inquiry more scientific? You might be surprised there is no universally agreed upon answer to this question. None of the descriptors we know of are sufficient by themselves to define scientific inquiry. But all of them give you a way of thinking about some aspects of the process of scientific inquiry. Each one gives you different insights.

Exercise 1.2

As you read about each descriptor below, think about what would make an inquiry more or less scientific. If you think a descriptor is important, use it to revise your definition of scientific inquiry.

Creating an Image of Scientific Inquiry

We will present three descriptors of scientific inquiry. Each provides a different perspective and emphasizes a different aspect of scientific inquiry. We will draw on all three descriptors to compose our definition of scientific inquiry.

Descriptor 1. Experience Carefully Planned in Advance

Sir Ronald Fisher, often called the father of modern statistical design, once referred to research as “experience carefully planned in advance” (1935, p. 8). He said that humans are always learning from experience, from interacting with the world around them. Usually, this learning is haphazard rather than the result of a deliberate process carried out over an extended period of time. Research, Fisher said, was learning from experience, but experience carefully planned in advance.

This phrase can be fully appreciated by looking at each word. The fact that scientific inquiry is based on experience means that it is based on interacting with the world. These interactions could be thought of as the stuff of scientific inquiry. In addition, it is not just any experience that counts. The experience must be carefully planned . The interactions with the world must be conducted with an explicit, describable purpose, and steps must be taken to make the intended learning as likely as possible. This planning is an integral part of scientific inquiry; it is not just a preparation phase. It is one of the things that distinguishes scientific inquiry from many everyday learning experiences. Finally, these steps must be taken beforehand and the purpose of the inquiry must be articulated in advance of the experience. Clearly, scientific inquiry does not happen by accident, by just stumbling into something. Stumbling into something unexpected and interesting can happen while engaged in scientific inquiry, but learning does not depend on it and serendipity does not make the inquiry scientific.

Descriptor 2. Observing Something and Trying to Explain Why It Is the Way It Is

When we were writing this chapter and googled “scientific inquiry,” the first entry was: “Scientific inquiry refers to the diverse ways in which scientists study the natural world and propose explanations based on the evidence derived from their work.” The emphasis is on studying, or observing, and then explaining . This descriptor takes the image of scientific inquiry beyond carefully planned experience and includes explaining what was experienced.

According to the Merriam-Webster dictionary, “explain” means “(a) to make known, (b) to make plain or understandable, (c) to give the reason or cause of, and (d) to show the logical development or relations of” (Merriam-Webster, n.d. ). We will use all these definitions. Taken together, they suggest that to explain an observation means to understand it by finding reasons (or causes) for why it is as it is. In this sense of scientific inquiry, the following are synonyms: explaining why, understanding why, and reasoning about causes and effects. Our image of scientific inquiry now includes planning, observing, and explaining why.

We need to add a final note about this descriptor. We have phrased it in a way that suggests “observing something” means you are observing something in real time—observing the way things are or the way things are changing. This is often true. But, observing could mean observing data that already have been collected, maybe by someone else making the original observations (e.g., secondary analysis of NAEP data or analysis of existing video recordings of classroom instruction). We will address secondary analyses more fully in Chap. 4 . For now, what is important is that the process requires explaining why the data look like they do.

We must note that for us, the term “data” is not limited to numerical or quantitative data such as test scores. Data can also take many nonquantitative forms, including written survey responses, interview transcripts, journal entries, video recordings of students, teachers, and classrooms, text messages, and so forth.

Exercise 1.3

What are the implications of the statement that just “observing” is not enough to count as scientific inquiry? Does this mean that a detailed description of a phenomenon is not scientific inquiry?

Find sources that define research in education that differ with our position, that say description alone, without explanation, counts as scientific research. Identify the precise points where the opinions differ. What are the best arguments for each of the positions? Which do you prefer? Why?

Descriptor 3. Updating Everyone’s Thinking in Response to More and Better Information

This descriptor focuses on a third aspect of scientific inquiry: updating and advancing the field’s understanding of phenomena that are investigated. This descriptor foregrounds a powerful characteristic of scientific inquiry: the reliability (or trustworthiness) of what is learned and the ultimate inevitability of this learning to advance human understanding of phenomena. Humans might choose not to learn from scientific inquiry, but history suggests that scientific inquiry always has the potential to advance understanding and that, eventually, humans take advantage of these new understandings.

Before exploring these bold claims a bit further, note that this descriptor uses “information” in the same way the previous two descriptors used “experience” and “observations.” These are the stuff of scientific inquiry and we will use them often, sometimes interchangeably. Frequently, we will use the term “data” to stand for all these terms.

An overriding goal of scientific inquiry is for everyone to learn from what one scientist does. Much of this book is about the methods you need to use so others have faith in what you report and can learn the same things you learned. This aspect of scientific inquiry has many implications.

One implication is that scientific inquiry is not a private practice. It is a public practice available for others to see and learn from. Notice how different this is from everyday learning. When you happen to learn something from your everyday experience, often only you gain from the experience. The fact that research is a public practice means it is also a social one. It is best conducted by interacting with others along the way: soliciting feedback at each phase, taking opportunities to present work-in-progress, and benefitting from the advice of others.

A second implication is that you, as the researcher, must be committed to sharing what you are doing and what you are learning in an open and transparent way. This allows all phases of your work to be scrutinized and critiqued. This is what gives your work credibility. The reliability or trustworthiness of your findings depends on your colleagues recognizing that you have used all appropriate methods to maximize the chances that your claims are justified by the data.

A third implication of viewing scientific inquiry as a collective enterprise is the reverse of the second—you must be committed to receiving comments from others. You must treat your colleagues as fair and honest critics even though it might sometimes feel otherwise. You must appreciate their job, which is to remain skeptical while scrutinizing what you have done in considerable detail. To provide the best help to you, they must remain skeptical about your conclusions (when, for example, the data are difficult for them to interpret) until you offer a convincing logical argument based on the information you share. A rather harsh but good-to-remember statement of the role of your friendly critics was voiced by Karl Popper, a well-known twentieth century philosopher of science: “. . . if you are interested in the problem which I tried to solve by my tentative assertion, you may help me by criticizing it as severely as you can” (Popper, 1968, p. 27).

A final implication of this third descriptor is that, as someone engaged in scientific inquiry, you have no choice but to update your thinking when the data support a different conclusion. This applies to your own data as well as to those of others. When data clearly point to a specific claim, even one that is quite different than you expected, you must reconsider your position. If the outcome is replicated multiple times, you need to adjust your thinking accordingly. Scientific inquiry does not let you pick and choose which data to believe; it mandates that everyone update their thinking when the data warrant an update.

Doing Scientific Inquiry

We define scientific inquiry in an operational sense—what does it mean to do scientific inquiry? What kind of process would satisfy all three descriptors: carefully planning an experience in advance; observing and trying to explain what you see; and, contributing to updating everyone’s thinking about an important phenomenon?

We define scientific inquiry as formulating , testing , and revising hypotheses about phenomena of interest.

Of course, we are not the only ones who define it in this way. The definition for the scientific method posted by the editors of Britannica is: “a researcher develops a hypothesis, tests it through various means, and then modifies the hypothesis on the basis of the outcome of the tests and experiments” (Britannica, n.d. ).

Notice how defining scientific inquiry this way satisfies each of the descriptors. “Carefully planning an experience in advance” is exactly what happens when formulating a hypothesis about a phenomenon of interest and thinking about how to test it. “ Observing a phenomenon” occurs when testing a hypothesis, and “ explaining ” what is found is required when revising a hypothesis based on the data. Finally, “updating everyone’s thinking” comes from comparing publicly the original with the revised hypothesis.

Doing scientific inquiry, as we have defined it, underscores the value of accumulating knowledge rather than generating random bits of knowledge. Formulating, testing, and revising hypotheses is an ongoing process, with each revised hypothesis begging for another test, whether by the same researcher or by new researchers. The editors of Britannica signaled this cyclic process by adding the following phrase to their definition of the scientific method: “The modified hypothesis is then retested, further modified, and tested again.” Scientific inquiry creates a process that encourages each study to build on the studies that have gone before. Through collective engagement in this process of building study on top of study, the scientific community works together to update its thinking.

Before exploring more fully the meaning of “formulating, testing, and revising hypotheses,” we need to acknowledge that this is not the only way researchers define research. Some researchers prefer a less formal definition, one that includes more serendipity, less planning, less explanation. You might have come across more open definitions such as “research is finding out about something.” We prefer the tighter hypothesis formulation, testing, and revision definition because we believe it provides a single, coherent map for conducting research that addresses many of the thorny problems educational researchers encounter. We believe it is the most useful orientation toward research and the most helpful to learn as a beginning researcher.

A final clarification of our definition is that it applies equally to qualitative and quantitative research. This is a familiar distinction in education that has generated much discussion. You might think our definition favors quantitative methods over qualitative methods because the language of hypothesis formulation and testing is often associated with quantitative methods. In fact, we do not favor one method over another. In Chap. 4 , we will illustrate how our definition fits research using a range of quantitative and qualitative methods.

Exercise 1.4

Look for ways to extend what the field knows in an area that has already received attention by other researchers. Specifically, you can search for a program of research carried out by more experienced researchers that has some revised hypotheses that remain untested. Identify a revised hypothesis that you might like to test.

Unpacking the Terms Formulating, Testing, and Revising Hypotheses

To get a full sense of the definition of scientific inquiry we will use throughout this book, it is helpful to spend a little time with each of the key terms.

We first want to make clear that we use the term “hypothesis” as it is defined in most dictionaries and as it used in many scientific fields rather than as it is usually defined in educational statistics courses. By “hypothesis,” we do not mean a null hypothesis that is accepted or rejected by statistical analysis. Rather, we use “hypothesis” in the sense conveyed by the following definitions: “An idea or explanation for something that is based on known facts but has not yet been proved” (Cambridge University Press, n.d. ), and “An unproved theory, proposition, or supposition, tentatively accepted to explain certain facts and to provide a basis for further investigation or argument” (Agnes & Guralnik, 2008 ).

We distinguish two parts to “hypotheses.” Hypotheses consist of predictions and rationales . Predictions are statements about what you expect to find when you inquire about something. Rationales are explanations for why you made the predictions you did, why you believe your predictions are correct. So, for us “formulating hypotheses” means making explicit predictions and developing rationales for the predictions.

“Testing hypotheses” means making observations that allow you to assess in what ways your predictions were correct and in what ways they were incorrect. In education research, it is rarely useful to think of your predictions as either right or wrong. Because of the complexity of most issues you will investigate, most predictions will be right in some ways and wrong in others.

By studying the observations you make (data you collect) to test your hypotheses, you can revise your hypotheses to better align with the observations. This means revising your predictions plus revising your rationales to justify your adjusted predictions. Even though you might not run another test, formulating revised hypotheses is an essential part of conducting a research study. Comparing your original and revised hypotheses informs everyone of what you learned by conducting your study. In addition, a revised hypothesis sets the stage for you or someone else to extend your study and accumulate more knowledge of the phenomenon.

We should note that not everyone makes a clear distinction between predictions and rationales as two aspects of hypotheses. In fact, common, non-scientific uses of the word “hypothesis” may limit it to only a prediction or only an explanation (or rationale). We choose to explicitly include both prediction and rationale in our definition of hypothesis, not because we assert this should be the universal definition, but because we want to foreground the importance of both parts acting in concert. Using “hypothesis” to represent both prediction and rationale could hide the two aspects, but we make them explicit because they provide different kinds of information. It is usually easier to make predictions than develop rationales because predictions can be guesses, hunches, or gut feelings about which you have little confidence. Developing a compelling rationale requires careful thought plus reading what other researchers have found plus talking with your colleagues. Often, while you are developing your rationale you will find good reasons to change your predictions. Developing good rationales is the engine that drives scientific inquiry. Rationales are essentially descriptions of how much you know about the phenomenon you are studying. Throughout this guide, we will elaborate on how developing good rationales drives scientific inquiry. For now, we simply note that it can sharpen your predictions and help you to interpret your data as you test your hypotheses.

Hypotheses in education research take a variety of forms or types. This is because there are a variety of phenomena that can be investigated. Investigating educational phenomena is sometimes best done using qualitative methods, sometimes using quantitative methods, and most often using mixed methods (e.g., Hay, 2016 ; Weis et al. 2019a ; Weisner, 2005 ). This means that, given our definition, hypotheses are equally applicable to qualitative and quantitative investigations.

Hypotheses take different forms when they are used to investigate different kinds of phenomena. Two very different activities in education could be labeled conducting experiments and descriptions. In an experiment, a hypothesis makes a prediction about anticipated changes, say the changes that occur when a treatment or intervention is applied. You might investigate how students’ thinking changes during a particular kind of instruction.

A second type of hypothesis, relevant for descriptive research, makes a prediction about what you will find when you investigate and describe the nature of a situation. The goal is to understand a situation as it exists rather than to understand a change from one situation to another. In this case, your prediction is what you expect to observe. Your rationale is the set of reasons for making this prediction; it is your current explanation for why the situation will look like it does.

You will probably read, if you have not already, that some researchers say you do not need a prediction to conduct a descriptive study. We will discuss this point of view in Chap. 2 . For now, we simply claim that scientific inquiry, as we have defined it, applies to all kinds of research studies. Descriptive studies, like others, not only benefit from formulating, testing, and revising hypotheses, but also need hypothesis formulating, testing, and revising.

One reason we define research as formulating, testing, and revising hypotheses is that if you think of research in this way you are less likely to go wrong. It is a useful guide for the entire process, as we will describe in detail in the chapters ahead. For example, as you build the rationale for your predictions, you are constructing the theoretical framework for your study (Chap. 3 ). As you work out the methods you will use to test your hypothesis, every decision you make will be based on asking, “Will this help me formulate or test or revise my hypothesis?” (Chap. 4 ). As you interpret the results of testing your predictions, you will compare them to what you predicted and examine the differences, focusing on how you must revise your hypotheses (Chap. 5 ). By anchoring the process to formulating, testing, and revising hypotheses, you will make smart decisions that yield a coherent and well-designed study.

Exercise 1.5

Compare the concept of formulating, testing, and revising hypotheses with the descriptions of scientific inquiry contained in Scientific Research in Education (NRC, 2002 ). How are they similar or different?

Exercise 1.6

Provide an example to illustrate and emphasize the differences between everyday learning/thinking and scientific inquiry.

Learning from Doing Scientific Inquiry

We noted earlier that a measure of what you have learned by conducting a research study is found in the differences between your original hypothesis and your revised hypothesis based on the data you collected to test your hypothesis. We will elaborate this statement in later chapters, but we preview our argument here.

Even before collecting data, scientific inquiry requires cycles of making a prediction, developing a rationale, refining your predictions, reading and studying more to strengthen your rationale, refining your predictions again, and so forth. And, even if you have run through several such cycles, you still will likely find that when you test your prediction you will be partly right and partly wrong. The results will support some parts of your predictions but not others, or the results will “kind of” support your predictions. A critical part of scientific inquiry is making sense of your results by interpreting them against your predictions. Carefully describing what aspects of your data supported your predictions, what aspects did not, and what data fell outside of any predictions is not an easy task, but you cannot learn from your study without doing this analysis.

Analyzing the matches and mismatches between your predictions and your data allows you to formulate different rationales that would have accounted for more of the data. The best revised rationale is the one that accounts for the most data. Once you have revised your rationales, you can think about the predictions they best justify or explain. It is by comparing your original rationales to your new rationales that you can sort out what you learned from your study.

Suppose your study was an experiment. Maybe you were investigating the effects of a new instructional intervention on students’ learning. Your original rationale was your explanation for why the intervention would change the learning outcomes in a particular way. Your revised rationale explained why the changes that you observed occurred like they did and why your revised predictions are better. Maybe your original rationale focused on the potential of the activities if they were implemented in ideal ways and your revised rationale included the factors that are likely to affect how teachers implement them. By comparing the before and after rationales, you are describing what you learned—what you can explain now that you could not before. Another way of saying this is that you are describing how much more you understand now than before you conducted your study.

Revised predictions based on carefully planned and collected data usually exhibit some of the following features compared with the originals: more precision, more completeness, and broader scope. Revised rationales have more explanatory power and become more complete, more aligned with the new predictions, sharper, and overall more convincing.

Part II. Why Do Educators Do Research?

Doing scientific inquiry is a lot of work. Each phase of the process takes time, and you will often cycle back to improve earlier phases as you engage in later phases. Because of the significant effort required, you should make sure your study is worth it. So, from the beginning, you should think about the purpose of your study. Why do you want to do it? And, because research is a social practice, you should also think about whether the results of your study are likely to be important and significant to the education community.

If you are doing research in the way we have described—as scientific inquiry—then one purpose of your study is to understand , not just to describe or evaluate or report. As we noted earlier, when you formulate hypotheses, you are developing rationales that explain why things might be like they are. In our view, trying to understand and explain is what separates research from other kinds of activities, like evaluating or describing.

One reason understanding is so important is that it allows researchers to see how or why something works like it does. When you see how something works, you are better able to predict how it might work in other contexts, under other conditions. And, because conditions, or contextual factors, matter a lot in education, gaining insights into applying your findings to other contexts increases the contributions of your work and its importance to the broader education community.

Consequently, the purposes of research studies in education often include the more specific aim of identifying and understanding the conditions under which the phenomena being studied work like the observations suggest. A classic example of this kind of study in mathematics education was reported by William Brownell and Harold Moser in 1949 . They were trying to establish which method of subtracting whole numbers could be taught most effectively—the regrouping method or the equal additions method. However, they realized that effectiveness might depend on the conditions under which the methods were taught—“meaningfully” versus “mechanically.” So, they designed a study that crossed the two instructional approaches with the two different methods (regrouping and equal additions). Among other results, they found that these conditions did matter. The regrouping method was more effective under the meaningful condition than the mechanical condition, but the same was not true for the equal additions algorithm.

What do education researchers want to understand? In our view, the ultimate goal of education is to offer all students the best possible learning opportunities. So, we believe the ultimate purpose of scientific inquiry in education is to develop understanding that supports the improvement of learning opportunities for all students. We say “ultimate” because there are lots of issues that must be understood to improve learning opportunities for all students. Hypotheses about many aspects of education are connected, ultimately, to students’ learning. For example, formulating and testing a hypothesis that preservice teachers need to engage in particular kinds of activities in their coursework in order to teach particular topics well is, ultimately, connected to improving students’ learning opportunities. So is hypothesizing that school districts often devote relatively few resources to instructional leadership training or hypothesizing that positioning mathematics as a tool students can use to combat social injustice can help students see the relevance of mathematics to their lives.

We do not exclude the importance of research on educational issues more removed from improving students’ learning opportunities, but we do think the argument for their importance will be more difficult to make. If there is no way to imagine a connection between your hypothesis and improving learning opportunities for students, even a distant connection, we recommend you reconsider whether it is an important hypothesis within the education community.

Notice that we said the ultimate goal of education is to offer all students the best possible learning opportunities. For too long, educators have been satisfied with a goal of offering rich learning opportunities for lots of students, sometimes even for just the majority of students, but not necessarily for all students. Evaluations of success often are based on outcomes that show high averages. In other words, if many students have learned something, or even a smaller number have learned a lot, educators may have been satisfied. The problem is that there is usually a pattern in the groups of students who receive lower quality opportunities—students of color and students who live in poor areas, urban and rural. This is not acceptable. Consequently, we emphasize the premise that the purpose of education research is to offer rich learning opportunities to all students.

One way to make sure you will be able to convince others of the importance of your study is to consider investigating some aspect of teachers’ shared instructional problems. Historically, researchers in education have set their own research agendas, regardless of the problems teachers are facing in schools. It is increasingly recognized that teachers have had trouble applying to their own classrooms what researchers find. To address this problem, a researcher could partner with a teacher—better yet, a small group of teachers—and talk with them about instructional problems they all share. These discussions can create a rich pool of problems researchers can consider. If researchers pursued one of these problems (preferably alongside teachers), the connection to improving learning opportunities for all students could be direct and immediate. “Grounding a research question in instructional problems that are experienced across multiple teachers’ classrooms helps to ensure that the answer to the question will be of sufficient scope to be relevant and significant beyond the local context” (Cai et al., 2019b , p. 115).

As a beginning researcher, determining the relevance and importance of a research problem is especially challenging. We recommend talking with advisors, other experienced researchers, and peers to test the educational importance of possible research problems and topics of study. You will also learn much more about the issue of research importance when you read Chap. 5 .

Exercise 1.7

Identify a problem in education that is closely connected to improving learning opportunities and a problem that has a less close connection. For each problem, write a brief argument (like a logical sequence of if-then statements) that connects the problem to all students’ learning opportunities.

Part III. Conducting Research as a Practice of Failing Productively

Scientific inquiry involves formulating hypotheses about phenomena that are not fully understood—by you or anyone else. Even if you are able to inform your hypotheses with lots of knowledge that has already been accumulated, you are likely to find that your prediction is not entirely accurate. This is normal. Remember, scientific inquiry is a process of constantly updating your thinking. More and better information means revising your thinking, again, and again, and again. Because you never fully understand a complicated phenomenon and your hypotheses never produce completely accurate predictions, it is easy to believe you are somehow failing.

The trick is to fail upward, to fail to predict accurately in ways that inform your next hypothesis so you can make a better prediction. Some of the best-known researchers in education have been open and honest about the many times their predictions were wrong and, based on the results of their studies and those of others, they continuously updated their thinking and changed their hypotheses.

A striking example of publicly revising (actually reversing) hypotheses due to incorrect predictions is found in the work of Lee J. Cronbach, one of the most distinguished educational psychologists of the twentieth century. In 1955, Cronbach delivered his presidential address to the American Psychological Association. Titling it “Two Disciplines of Scientific Psychology,” Cronbach proposed a rapprochement between two research approaches—correlational studies that focused on individual differences and experimental studies that focused on instructional treatments controlling for individual differences. (We will examine different research approaches in Chap. 4 ). If these approaches could be brought together, reasoned Cronbach ( 1957 ), researchers could find interactions between individual characteristics and treatments (aptitude-treatment interactions or ATIs), fitting the best treatments to different individuals.

In 1975, after years of research by many researchers looking for ATIs, Cronbach acknowledged the evidence for simple, useful ATIs had not been found. Even when trying to find interactions between a few variables that could provide instructional guidance, the analysis, said Cronbach, creates “a hall of mirrors that extends to infinity, tormenting even the boldest investigators and defeating even ambitious designs” (Cronbach, 1975 , p. 119).

As he was reflecting back on his work, Cronbach ( 1986 ) recommended moving away from documenting instructional effects through statistical inference (an approach he had championed for much of his career) and toward approaches that probe the reasons for these effects, approaches that provide a “full account of events in a time, place, and context” (Cronbach, 1986 , p. 104). This is a remarkable change in hypotheses, a change based on data and made fully transparent. Cronbach understood the value of failing productively.

Closer to home, in a less dramatic example, one of us began a line of scientific inquiry into how to prepare elementary preservice teachers to teach early algebra. Teaching early algebra meant engaging elementary students in early forms of algebraic reasoning. Such reasoning should help them transition from arithmetic to algebra. To begin this line of inquiry, a set of activities for preservice teachers were developed. Even though the activities were based on well-supported hypotheses, they largely failed to engage preservice teachers as predicted because of unanticipated challenges the preservice teachers faced. To capitalize on this failure, follow-up studies were conducted, first to better understand elementary preservice teachers’ challenges with preparing to teach early algebra, and then to better support preservice teachers in navigating these challenges. In this example, the initial failure was a necessary step in the researchers’ scientific inquiry and furthered the researchers’ understanding of this issue.

We present another example of failing productively in Chap. 2 . That example emerges from recounting the history of a well-known research program in mathematics education.

Making mistakes is an inherent part of doing scientific research. Conducting a study is rarely a smooth path from beginning to end. We recommend that you keep the following things in mind as you begin a career of conducting research in education.

First, do not get discouraged when you make mistakes; do not fall into the trap of feeling like you are not capable of doing research because you make too many errors.

Second, learn from your mistakes. Do not ignore your mistakes or treat them as errors that you simply need to forget and move past. Mistakes are rich sites for learning—in research just as in other fields of study.

Third, by reflecting on your mistakes, you can learn to make better mistakes, mistakes that inform you about a productive next step. You will not be able to eliminate your mistakes, but you can set a goal of making better and better mistakes.

Exercise 1.8

How does scientific inquiry differ from everyday learning in giving you the tools to fail upward? You may find helpful perspectives on this question in other resources on science and scientific inquiry (e.g., Failure: Why Science is So Successful by Firestein, 2015).

Exercise 1.9

Use what you have learned in this chapter to write a new definition of scientific inquiry. Compare this definition with the one you wrote before reading this chapter. If you are reading this book as part of a course, compare your definition with your colleagues’ definitions. Develop a consensus definition with everyone in the course.

Part IV. Preview of Chap. 2

Now that you have a good idea of what research is, at least of what we believe research is, the next step is to think about how to actually begin doing research. This means how to begin formulating, testing, and revising hypotheses. As for all phases of scientific inquiry, there are lots of things to think about. Because it is critical to start well, we devote Chap. 2 to getting started with formulating hypotheses.

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Hiebert, J., Cai, J., Hwang, S., Morris, A.K., Hohensee, C. (2023). What Is Research, and Why Do People Do It?. In: Doing Research: A New Researcher’s Guide. Research in Mathematics Education. Springer, Cham. https://doi.org/10.1007/978-3-031-19078-0_1

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What is the Significance of the Study?

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• what the significance of the study means,
• why it’s important to include in your research work,
• where you would include it in your paper, thesis or dissertation,
• how you write one
• and finally an example of a well written section about the significance of the study.

What does Significance of the Study mean?

The significance of the study is a written statement that explains why your research was needed. It’s a justification of the importance of your work and impact it has on your research field, it’s contribution to new knowledge and how others will benefit from it.

Why is the Significance of the Study important?

The significance of the study, also known as the rationale of the study, is important to convey to the reader why the research work was important. This may be an academic reviewer assessing your manuscript under peer-review, an examiner reading your PhD thesis, a funder reading your grant application or another research group reading your published journal paper. Your academic writing should make clear to the reader what the significance of the research that you performed was, the contribution you made and the benefits of it.

How do you write the Significance of the Study?

When writing this section, first think about where the gaps in knowledge are in your research field. What are the areas that are poorly understood with little or no previously published literature? Or what topics have others previously published on that still require further work. This is often referred to as the problem statement.

The introduction section within the significance of the study should include you writing the problem statement and explaining to the reader where the gap in literature is.

Then think about the significance of your research and thesis study from two perspectives: (1) what is the general contribution of your research on your field and (2) what specific contribution have you made to the knowledge and who does this benefit the most.

For example, the gap in knowledge may be that the benefits of dumbbell exercises for patients recovering from a broken arm are not fully understood. You may have performed a study investigating the impact of dumbbell training in patients with fractures versus those that did not perform dumbbell exercises and shown there to be a benefit in their use. The broad significance of the study would be the improvement in the understanding of effective physiotherapy methods. Your specific contribution has been to show a significant improvement in the rate of recovery in patients with broken arms when performing certain dumbbell exercise routines.

This statement should be no more than 500 words in length when written for a thesis. Within a research paper, the statement should be shorter and around 200 words at most.

Significance of the Study: An example

Building on the above hypothetical academic study, the following is an example of a full statement of the significance of the study for you to consider when writing your own. Keep in mind though that there’s no single way of writing the perfect significance statement and it may well depend on the subject area and the study content.

Here’s another example to help demonstrate how a significance of the study can also be applied to non-technical fields:

The significance of this research lies in its potential to inform clinical practices and patient counseling. By understanding the psychological outcomes associated with non-surgical facial aesthetics, practitioners can better guide their patients in making informed decisions about their treatment plans. Additionally, this study contributes to the body of academic knowledge by providing empirical evidence on the effects of these cosmetic procedures, which have been largely anecdotal up to this point.

The statement of the significance of the study is used by students and researchers in academic writing to convey the importance of the research performed; this section is written at the end of the introduction and should describe the specific contribution made and who it benefits.

Find out the different dissertation and thesis binding options, which is best, advantages and disadvantages, typical costs, popular services and more.

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An abstract and introduction are the first two sections of your paper or thesis. This guide explains the differences between them and how to write them.

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Doing Research in Education: Theory and Practice

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Hannah, D.R. and Lautsch, B.A. (2010) ‘Counting in Qualitative Research: Why to Conduct it, When to Avoid it, and When to Closet it’, in Journal of Management Inquiry , 20(1): 14–22.

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14 Chapter 3 identifies roles, relationships, and responsibilities of stakeholders. It examines principal steps involved in planning an airport passenger-rate data collection effort. It begins with the ques- tion of whether the potential benefits of the proposed effort outweigh the anticipated cost; describes different types of research (i.e., exploratory, descriptive, inferential); summarizes the questions each type addresses; and notes the ends to which the data might be used. 3.1 Roles and Responsibilities When an airport data collection event is first mentioned, it invariably raises numerous ques- tions: Who is asking for the data? How will it be used? What’s the budget? What’s the schedule? What kind of resources can be made available? Without answers to these fundamental questions, the success of your research is in jeopardy. This section will help the researcher establish the role of key stakeholders and their interrelationships within the team. Many entities can sponsor a data collection study, including airports, airlines, manufacturers, and various agencies. Likewise, there are many ways of managing and staffing the event and pro- moting involvement with stakeholders. There are therefore myriad ways of organizing a study. Exhibit 3-1 is an example of how a study could be arranged with the airport as the sponsor. 3.1.1 Client/Sponsor For airports, oversight is guided by a board, commission, or an authority consisting of appointed or elected officials. While these agencies typically provide oversight to airport man- agement and approve long-term plans and large capital expenditures, usually it is the airport director or manager who makes day-to-day decisions. Depending on the size of the airport, there may be several departments, each having its own manager. In such cases, passenger terminal-related studies would typically fall within the purview of the planning and/or engineering department and would be managed by its director. Regardless of the affiliation of the project sponsor(s), it is essential that the following ques- tions be answered clearly and unambiguously as they pertain to the sponsor at the beginning of any project: • Who has primary responsibility for defining the questions the study is intended to address? • What preference does this person or group have regarding ongoing involvement with the project? – What information would they like to receive, in what format, and with what frequency? – Who should be the principal point-of-contact (POC) on the client’s side for questions that might emerge related to the study’s focus, direction, etc.? C H A P T E R 3 Defining the Research: Purpose, Focus, and Potential Uses

Defining the Research: Purpose, Focus, and Potential Uses 15 • Who is the designated project manager, and what information would he or she like to receive, in what format, and with what frequency? • If the person given responsibility for day-to-day issues pertaining to access, authorizations, etc. is different from the project manager, who is that person, and what is the scope of issues he or she is authorized to address? • If problems or obstacles arise in implementing the study, and the project manager is not able or authorized to resolve them, what is the chain of persons through which the issue should be escalated? 3.1.2 Study Team The size of the study team will depend on the team’s depth and organization, and the size, duration, and complexity of the study itself. For a typical medium- to large-scale study, the roles listed in the following sections are the most typical. Multiple roles might be assumed by a single person or distributed across multiple persons. Titles vary as well, but the functions are largely universal. Project Manager The project manager is typically a mid-level to senior person who has the long-term, day-to- day relationship with his or her client counterpart. The need for the passenger-related process- ing rate study may initially originate from discussions between the project manager and those within the airport or airline. Survey Manager The survey manager is usually a mid-level staff person. His/her role on the project would be to oversee the day-to-day management of the data processing rate study, including leading the development of the scope, schedule, and budget; developing the team; and assigning roles and responsibilities. The survey manager would have the responsibility of ensuring the survey goals were adequately defined and met. Decision Maker Survey Manager Admin. Support Staffing Source (e.g., airport personnel, mkt. research firm) Surveyor Surveyor Surveyor Sponsor/Client (Airport) (Large Airport: Dir./Mgr.) Project Manager (Large Airport: Dir. Planning/Eng.) (Small Airport: Apt. Mgr.) Project Manager (Typ. oversees multiple tasks of which survey is but one part) Study Team (Typically, Consultant) Statistical Technical Expert Survey Assistant Data Analyst IT Analyst Other Stakeholders • Airlines • Agencies • Concessionaires Exhibit 3-1. Typical sponsor and study team roles (assuming an airport is the sponsor).

16 Airport Passenger-Related Processing Rates Guidebook Research and Statistical Expert A person(s) with expertise in research methodology and quantitative/statistical analysis should be consulted to develop, or provide comments and recommendations about, the overall methodology, the sampling plan, and so forth. Most of this person’s input would occur at the project’s initiation. A distinction is sometimes drawn in the consulting literature among differ- ent approaches to consulting. One such approach, generally referred to as process consultation might be of particular appeal.1 When acting in this role, the consultant not only provides tech- nical expertise related to the specific project, but also works with the client to develop expertise. This arrangement has the goal of, over time, reducing the reliance on the consultant. Survey Assistant The survey assistant has primary responsibility for assisting the survey project manager and secondarily to assist others on the project team throughout the duration of the study. Typically, this staff person will be at a junior level. The degree of assistance this person can provide is based on his/her level of education and current skill sets. Data Analyst The data analyst should not only be well-versed in technical analysis, but should also have a strong familiarity with the airport terminal environment. This person could be a terminal or air- port planner or aviation architect. The analyst is often largely responsible for documenting results, and responsibilities might extend to presenting findings to the client. Administrative Support Data collection efforts are inherently complex and, as such, often require a significant level of coordination and administration. The staff person serving this function would be responsible for such things as making travel plans, scheduling visits to the airport’s security office, buying supplies, shipping and receiving materials, scheduling meetings, preparing invoices and con- tracts, and editing/proofing the report. Data Collection Staff For small studies (e.g., small airports where only a few functional elements are being observed for a limited time period), airport/airline or consultant staffing may be used. For larger studies, typically examining multiple functional elements of a medium or large airport over a multi-day period, a market-research firm is frequently employed. The data collection staff reports directly to the survey manager. 3.2 Is the Study Needed? While the need for data collection is often justifiable, the benefit of validating the need, and avoiding what might be a costly, and possibly unjustified, effort well exceeds the relatively minor cost of pausing to consider a few basic questions (see Appendix C for more information). Exhibit 3-2 illustrates these questions. 3.3 Research Fundamentals This section summarizes a number of fundamental issues and terms related to the research process. (Additional detail is included in Appendix C.) 1 Schein, E. H. (1999). Process Consultation Revisited: Building the Helping Relationship. NY: Addison Wesley.

Research is a dynamic process with both deductive and inductive dimensions. This differs in some ways from what some present as the “traditional” approach to research, i.e., that theory drives hypothesis testing. Sometimes it does, but sometimes it doesn’t work this way. 3.3.1 Theory, Hypotheses, and Evidence The word “theory” often implies a formal set of laws, propositions, variables, and the like, whose relationships are clearly defined. A related implication is that theory may not be particu- larly germane to the everyday world of work. This view of theory is not incorrect, but neither is it complete. While theory can be abstract and complex in its detail, it does not necessarily have to be abstract, complex, or formal. It can be thought of more broadly and simply as an explanation of “how the world works.” For exam- ple, an organization might develop a mission or a value statement (or both); engrave the words in a medium intended to last millennia; and prominently display the statement in the workplace with the intent of communicating to all its perspective clients on issues pertinent to its view. In Defining the Research: Purpose, Focus, and Potential Uses 17 Question Things to Consider Have relevant data been collected at this airport in the past that might be used rather than collecting new data? Might you be able to get data from another airport similar in key ways to this airport? Are there data available that might help answer the research question? Might access to the data be blocked due to proprietary or security issues? Sometimes the data are perceived to be so sensitive that the “owner” of the data may not give permission to share it. Has the decision already been made, and the data are being collected to legitimize the decision? Is there anything to suggest that the study is an attempt to “prove” something true or false? What role will the results play in the decision being considered? To what extent will the decision makers be persuaded by the results? What will the decision makers accept as credible evidence? Before collecting data, make certain that the research plan will result in data that the sponsors will accept. It is better to learn beforehand, for example, that the proposed sampling plan does not meet the sponsor’s criteria for rigor. What is the cost of the potential investment that the data will help inform? What is the cost of conducting the research? Does the benefit equal or outweigh the cost? Cost should be considered not only in economic terms, but as safety, inconvenience, and so forth. Exhibit 3-2. Considerations to determine need for data collection.

2008, British Airways announced a new venture: OpenSkies. The “theory” OpenSkies used to define its clients is reflected in its advertising as shown in Exhibit 3-3. So, how does this relate to airport processing rate studies? It relates in the following two ways: 1. The published research literature may well contain formal theories relevant to what data to collect and how to collect it. For example, Appendix B includes a bibliography of recent research articles related to passenger and baggage processing in airports. It is intended to illustrate the scope and diversity of research available on a given topic. Before embarking on an investigation, review the literature to see how it might enhance the quality of the planned research. The Internet provides access to numerous sources for such scholarly documents. 2. Informally, the key decisions about how to go about collecting data are grounded in assump- tions about how things work (i.e., one’s own theory). For example, you might choose to col- lect passenger security screening data between 6:00 a.m. and 8:00 a.m. on a Monday because your experience is that this time period reflects peak checkpoint activity. While this “theory” may be correct in some circumstances, it may also be wrong in others. For example, at many vacation-oriented airports, the peak at the checkpoint occurs in the late morning due to check-out times at hotels. Another common view of research is of the stereotypical scientist, objectively testing hypothe- ses (or an “educated guess”) arising from theory. Exhibit 3-4 reflects this general approach to research. This is certainly one way in which research proceeds, but, similar to theory, it is not the only way. Before considering an “evidence first” approach, we wish to mention a variation on the tra- ditional approach displayed in Exhibit 3-4 that has been gaining dominance in recent years. In particular, this is a confidence interval (CI) approach rather than a hypothesis driven approach. In a hypothesis driven approach, the researcher’s primary interest is in testing a population parameter, and uses a sample drawn from the population. When the researcher takes a CI approach, the intent is to calculate an interval within which the population parameter is likely 18 Airport Passenger-Related Processing Rates Guidebook Exhibit 3-3. OpenSkies advertisement. Question key assumptions, even if they seem to be “common sense,” by checking with informants, look- ing at the literature, etc.

to fall. Hypotheses are stated before data collection; CIs are calculated after data are collected.2 In conducting passenger-processing rate research in airport environments, the CI approach is going to be the most appropriate in most instances. A markedly different approach to those described above is shown in Exhibit 3-5. In contrast to beginning with a theory and then collecting evidence to test the theory or estimate a popula- tion parameter within some CI, this approach begins with evidence for which one seeks poten- tial explanations, or “theories” to explain the evidence. This approach is subsumed under the broad heading of Bayesian Law, so named after the 18th Century English clergyman, Thomas Bayes, credited with developing the approach. Depending on where one begins can result in potentially dramatic conclusions (see Exhibit 3-6). This is important because limiting oneself to a particular perspective of how research should be conducted and how data ought to be gathered may impose unnecessary constraints. What is important is that the research is executed systematically and with rigor. The documented ways in which science proceeds are often idealized: portraying what is inherently a very dynamic and nonlinear process as logical and linear. 3.3.2 Research Questions and Purposes A basic issue in research is specifying the question the research will help answer. Penning a specific question also helps in determining what approach might be best used in seeking an Defining the Research: Purpose, Focus, and Potential Uses 19 Theory Drives questions & hypotheses Hypothesis: Installing n kiosks will reduce the average time of passengers waiting in line by 10% over check-in agents. Leading to a conclusion Drives data collection Followed by analysis Exhibit 3-4. Hypothesis driven approach. Evidence leads to speculation about possible explanations Which may or may not drive more data collection & analysis Theory Exhibit 3-5. Bayesian approach. 2 While these approaches are presented here as mutually exclusive, they might be integrated in practice.

answer. One classic text in research methodology5 suggests that a research question should express a relationship between two or more variables, and it should imply an empirical approach, that is, it should lend itself to being measured using data. A variable is, not surprisingly, some- thing that can vary, or assume different values. In the next section, illustrative questions are given, categorized by the purpose of research with which they are best matched. The five research purposes are presented as the following: 1. Explore, 2. Describe, 3. Test, 4. Evaluate, and 5. Predict. The distinctions among these purposes are not absolute, nor are they necessarily exclusive of one another. A research initiative might be directed at answering questions with multiple pur- poses. Indeed, this is but one of many ways of classifying research. In addition, the reader whose practice lies primarily in the arena of modeling and simulation might note their absence from this list. Although modeling and simulation applications require input data, for example, to gen- erate distributions and parameters for use as stochastic varieties in modeling, the techniques used to collect data are largely independent of specific applications (such as simulation and model- ing). Those issues unique to modeling are beyond the scope of this guidebook. Explore (Exploratory Research) Exploratory research is sometimes defined as “what to do when you don’t know what you don’t know.” Its aim is discovery and to develop an understanding of relevant variables and their interactions in a real (field) environment. Exploratory research, as such, is appropriate when the 20 Airport Passenger-Related Processing Rates Guidebook If your intent is to… And take action based on… Use… Example Test a hypothesis regarding a population parameter Whether you reject or fail to reject the null hypothesis Hypothesis testing approach The proportion of coach passengers checking in more than 60 min prior to scheduled departure is 80% H A : p > .80 3 H 0 : p .804 Estimate a population parameter The confidence interval selected CI approach Plus or minus 5%, what is the average time coach passengers check in prior to scheduled departure? Determine the likelihood of an event given some evidence The calculated probability Bayesian approach What is the probability that a passenger’s carry on- luggage will be subject to secondary security screening given that the passenger is boarding an international flight? Exhibit 3-6. Research approaches. 3 This is the research, or Alternative, hypothesis. It reads: The proportion is greater than 80%. 4 This is the null hypothesis. It is what is tested, and reads: The proportion is less than or equal to 80%. 5 Kerlinger F. & Lee, H. (2000). Foundations of Behavioral Research, 4th ed. NY: Harcourt Brace.

problem is not well defined. For example, passenger complaints about signs within a facility might prompt the following exploratory question: • “Where should signage be located to minimize passenger confusion?” As another example, if a new security checkpoint configuration is proposed, it may be too novel to rely on variables used in other studies. The question, therefore, might then be the following: • “How does a given alternative security checkpoint configuration affect capacity?” This type of research is often qualitative rather than quantitative. That is, it employs verbal descriptors of observations, rather than counts of those observations (see Appendix C for more information). Describe (Descriptive Research) Descriptive research, as the name implies, is intended to describe phenomena. While descrip- tive research might involve collecting qualitative data by asking open-ended questions in an interview, it typically employs quantitative methods resulting in reporting frequencies, calculat- ing averages, and the like. The following two questions illustrate the nature of descriptive research. Each implies that the relevant variables have been identified as well as the conditions under which the data should be collected. • “What is the average number of passengers departing on international flights on weekday evenings in July at a given airport?” • “How many men use a given restroom at a particular location at a given time?” Test (Experimental and Quasi-experimental Research and Modeling) Often, the intent of the research is not simply to describe something, but to test the impact of some intervention. In an airport environment, such research might be initiated to evaluate the relative effectiveness of a security screening technology in accurately detecting contraband. It is similar in approach to research conducted to assess the relative effectiveness of an experimental drug in comparison to a control (placebo) or another drug. Variables are often manipulated and controlled. This research lies largely outside the scope of this guidebook and, as such, will not receive much attention. Examples of questions that might be asked in this type of research include the following: • “What is the impact of posting airline personnel near check-in waiting lines on the average passenger waiting time?” In addition to the classic “experiment,” simulation modeling might be used, employing rep- resentative data to help answer questions such as the following: • “What would be the impact on processing time of a new security measure being considered?” • “How many agents are needed to keep passenger waiting time below an average of 10 min?” Evaluate (Evaluative Research) Sometimes, the intent of the research is to assess performance against some standard or stated requirement. Basically, evaluation research is concerned with seeing how well something is work- ing, with an eye toward improving performance, as illustrated by the following two questions: • “Is the performance of a given piece of equipment in the field consistent with manufacturer’s specifications?” • “On average, what proportion of passengers waits in a security checkpoint line longer than the 10-minute maximum threshold specified by an airline?” Defining the Research: Purpose, Focus, and Potential Uses 21

Predict Finally, research might be initiated to attempt to predict or anticipate potential emerging pat- terns before they occur. This is related to environmental scanning, insofar as it represents a delib- erate attempt to monitor potential trends and their impact. For example, in the early 1970s, one might have posed the following question: • “What would be the impact of an increase in the number of women in the workforce on air- port design?” There are numerous documented approaches to answering questions such as these. While well beyond the scope of this guidebook, here is one as illustrative: scenario planning. This method involves convening persons with relevant expertise to identify those areas that might most impact the industry (e.g., regulation, fuel costs, demographic changes), and then to systemati- cally consider what the best, worst, and might likely scenarios might be. The principal value of such an approach is that it facilitates deliberate consideration of future trends, and in so doing, presumably leaves people better prepared. When the goal of the research is to predict, data from multiple sources might be sought. The scenario planning example relies, to an extent, on the judgments of experts. Probabilities can also be drawn from historical data to help identify patterns and trends. Exhibit 3-7 is a summary of the key characteristics of each research type. 3.4 Developing the Research Plan Large research studies, particularly when funding is being requested, often require the researchers to adhere to a specific set of technical requirements. The Research Team is aware that the ad hoc and short timeline of many airport-planning research efforts makes developing a “for- mal” research plan impracticable. Nonetheless, even though you might not have the “luxury” of 22 Airport Passenger-Related Processing Rates Guidebook Research Purpose Characteristics Explore Primary purpose: to better define or understand a situation. Data will help answer the research question. The benefit of conducting the research justifies the cost. Qualitative data are recorded, using observation. Describe Primary purpose: to provide descriptive information about something. Test Primary purpose: to assess the impact of a proposed change in procedure or policy. Evaluate Primary purpose: to assess performance against requirements. Predict Primary purpose: to consider possible future circumstances with the purpose of being better prepared for emerging trends. Exhibit 3-7. Summary of research types.

developing such a plan, there are benefits to considering the issues described in this section, as well as documenting basic information. The following are the three major elements the Research Team believes worth documenting, regardless of the size of the research endeavor.6 1. Goals or aims. 2. Background and significance. 3. Research design and methods. Each is described in the sections that follow. 3.4.1 Goals or Aims Specify the question the research is intended to help answer or the specific purpose of the research. The experience of having to translate an intended purpose into words can help clarify your intent. In addition, a written statement can serve as a way of ensuring that your understand- ing of the purpose of the research is consistent with that of the sponsor and other stakeholders. Two examples follow: Statement of Purpose—Example 1 The purpose of this study is to aid decision makers in determining if extending the dwell time of the airport’s automated guideway transit system (AGTS) vehicles from 30 sec to 35 sec at the Concourse C station might improve overall system capacity by providing more boarding time for passengers. Statement of Purpose—Example 2 The goal of this study is to provide airport management with recent data showing the percent- age of arriving flights whose first checked bag reaches the claim device within the airport’s goal of 15 min. 3.4.2 Background and Significance Document what is already known, and specify how the proposed research initiative will add to this knowledge. Consider a “devil’s advocate” perspective by asking what the consequences of not doing the research might be. 3.4.3 Research Design and Methods In this section, describe how you will go about collecting and analyzing data. Additional infor- mation about these issues, including sampling strategies and sample size, is presented in Chapter 5 and in Appendix C. The research plan does not need be lengthy. It should, however, capture key information that, were it not documented and those familiar with the research were not available, would be diffi- cult to ascertain. Defining the Research: Purpose, Focus, and Potential Uses 23 6 This section is partly based on guidelines published by the Agency for Healthcare Research and Quality, Department of Health and Human Services. http://www.ahrq.gov/fund/esstplan.htm.

TRB’s Airport Cooperative Research Program (ACRP) Report 23: Airport Passenger-Related Processing Rates Guidebook provides guidance on how to collect accurate passenger-related processing data for evaluating facility requirements to promote efficient and cost-effective airport terminal design.

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• Section 1: Home
• Narrowing Your Topic
• Problem Statement

Purpose Statement Overview

Writing an effective purpose statement, best practices for writing your purpose statement, sample purpose statements.

• Conceptual Framework
• Avoiding Common Mistakes
• Synthesis and Analysis in Writing Support This link opens in a new window
• Qualitative Research Questions This link opens in a new window
• Quantitative Research Questions This link opens in a new window
• Qualitative & Quantitative Research Support with the ASC This link opens in a new window
• Library Research Consultations This link opens in a new window
• Library Guide: Research Process This link opens in a new window
• ASC Guide: Outlining and Annotating This link opens in a new window
• Library Guide: Organizing Research & Citations This link opens in a new window
• Library Guide: RefWorks This link opens in a new window
• Library Guide: Copyright Information This link opens in a new window

Purpose Statement 

The purpose statement succinctly explains the objectives of the doctoral project or dissertation-in-practice. These objectives must directly address the problem. The purpose statement also identifies the project methodology and design.

A problem and a missing piece in combination can lead to different objectives, and hence, different purpose statements. 

The purpose of the applied doctoral project or dissertation-in-practice must not only align with the problem and address a missing piece; it must also align with the chosen project method. In fact, the template requires you to name the research method at the very beginning of the purpose statement. In general, quantitative studies involve “closed-ended” research verbs such as determine, measure, correlate, explain, compare, validate, identify, or examine; whereas qualitative studies involve “open-ended” research verbs such as explore, understand, narrate, articulate [meanings], discover, or develop.  

Qualitative Purpose Statement

A qualitative purpose statement following the color-coded problem statement (assumed here to be low well-being among financial sector employees) + missing piece (lack of research on followers of mid-level managers), might start like this: 

In response to declining levels of employee well-being, the purpose of the qualitative phenomenology was to explore and understand the lived experiences related to the well-being of the followers of novice mid-level managers in the financial services industry.  The levels of follower well-being have been shown to correlate to employee morale, turnover intention, and customer orientation (Eren et al., 2013).  A combined framework of Leader-Member Exchange (LMX) Theory and the employee well-being concept informed the research questions and supported the inquiry, analysis, and interpretation of the findings to be applied in the financial services industry.   

Quantitative Purpose Statement

A quantitative purpose statement for the same problem and gap might start like this: 

In response to declining levels of employee well-being, the purpose of the quantitative correlational study was to determine which leadership factors predict employee well-being of the followers of novice mid-level managers to be applied in the financial services industry. Leadership factors were measured by the Leader Member Exchange (LMX) assessment framework by Mantlekow (2015), and employee well-being was conceptualized as a compound variable consisting of self-reported turnover-intent and psychological test scores from the Mental Health Survey (MHS) developed by Johns Hopkins University researchers.  

Both of these purpose statements reflect viable research strategies and both align with the problem and gap so it’s up to the practitioner to design a doctoral project or dissertation-in-practice in a manner that reflects personal preferences and desired study outcomes. Note that the quantitative research purpose incorporates operationalized concepts, or variables; that reflect the way the practitioner intends to measure the key concepts under study; whereas the qualitative purpose statement isn’t about translating the concepts under study as variables but instead aim to explore and understand the core research phenomenon.

An important step in the successful completion of an Applied Doctoral Project/Dissertation in Practice is starting off with an accurate and precise purpose statement.  Read through the information below to get some general ideas or guidelines related to effective purpose statements and how to compose them.  All this information comes from faculty who want you to succeed in the process.

General Guidelines

Keep these in mind as you begin to compose your purpose statement

Good purpose statements:

• Flow from the problem statement and actually address the proposed problem
• Are concise and clear
• Answer the question ‘Why are you doing this project?’
• Match the methodology to your  questions
• Have a ‘hook’ to get the reader’s attention
• Set the stage by clearly stating, “The purpose of this (qualitative or quantitative) study is to ...”

Writing your Purpose Statement:

• The Problem Statement is why I am doing the project or dissertation-in-practice
• The Purpose Statement is what type of project or study I am doing to fit or address the problem

The Purpose Statement includes:

• Design and Method of Study
• Specific Population

Creswell (2002) suggested that purpose statements in qualitative projects or studies include deliberate phrasing to alert the reader to the purpose statement. Verbs are key to indicate what will take place in the project or study research and the use of non-directional language that does not suggest an outcome. A purpose statement should focus on a single idea or concept with a broad definition of that idea or concept. How the concept will be investigated should also be included, as well as participants in the study and study locations to give the reader a sense of with whom and where the project or study will occur.  

Creswell (2003) advised the following script for purpose statements in qualitative methodology:

“The purpose of this qualitative_________________ (strategy of inquiry, such as ethnography, case study, or other type) study is (was? will be?) to ________________ (understand? describe? develop? discover?) the _________________(central phenomenon being studied) for ______________ (the participants, such as the individual, groups, organization) at __________(site). At this stage in the project, the __________ (central phenomenon being studied) will be generally defined as ___________________ (provide a general definition)” (pg. 90).

Quantitative Purpose Statement

Creswell (2003) offers vast differences between the purpose statements written for qualitative methodology and those written for quantitative methodology, particularly with respect to language and the inclusion of variables. The comparison of variables is often a focus of quantitative methodology with the variables distinguishable by either the temporal order or how they are measured. As with qualitative purpose statements, Creswell (2003) recommends the use of deliberate language to alert the reader to the purpose of the project or study, though quantitative purpose statements also include the theory or conceptual framework guiding the project or study, the variables that are being studied, and how those variables are related.  

Creswell (2003) suggests the following script for drafting purpose statements in quantitative projects:

“The purpose of this _____________________ (experiment? survey?) project is (was? will be?) to test the theory of _________________that _________________ (compares? relates?) the ___________(independent variable) to _________________________(dependent variable), controlling for _______________________ (control variables) for ___________________ (participants) at _________________________ (site). The independent variable(s) _____________________ will be generally defined as _______________________ (provide a general definition). The dependent variable(s) will be generally defined as _____________________ (provide a general definition), and the control and intervening variables(s), _________________ (identify the control and intervening variables) will be statistically controlled in this project” (pg. 97).

Creswell, J. (2002). Educational research: Planning, conducting, and evaluating quantitative and qualitative research.  Merrill Prentice Hall. 7.  Creswell, J. (2003). Research design: Qualitative, quantitative and mixed methods approaches (2nd ed.).  SAGE Publications.

Always keep in mind that the process is iterative, and your writing, over time, will be refined as clarity is gradually achieved. Most of the time, greater clarity for the purpose statement and other components is the result of a growing understanding of the literature in the field. As you increasingly master the literature you will also increasingly clarify the purpose of your project or study. 

The purpose statement should flow directly from the problem statement. There should be clear and obvious alignment between the two, and that alignment will get tighter and more pronounced as your work progresses.

The purpose statement should specifically address the reason for conducting the project or study, with emphasis on the word specifically. There should not be any doubt in your readers’ minds as to the purpose of your project or study. To achieve this level of clarity, you will need to also ensure there is no doubt in your mind as to the purpose of your project or study. 

You may benefit from stopping your work during the process when insight strikes you in order to write about that insight while it is still fresh in your mind. This pause can help you clarify all aspects of the project or study, including clarifying its purpose. 

Your Chair and your committee members can help you to clarify the purpose of your project or dissertation-in-practice, so carefully attend to any feedback they offer.

The purpose statement should reflect the questions proposed and vice versa. The chain of alignment that began with the problem description and continues on to the purpose, questions, and methodology must be respected at all times during development. You are to succinctly describe the overarching goal of the project or dissertation-in-practice that reflects the questions. Each question narrows and focuses the purpose statement. Conversely, the purpose statement encompasses all of the questions. 

Identify in the purpose statement the methodology as quantitative, qualitative or mixed (i.e., “The purpose of this [qualitative/quantitative/mixed] study is to ...)

Follow the initial declaration of purpose with a brief overview of how the project or study will be conducted, including instruments, data, with whom (sample), and where (as applicable). Identify variables/constructs and/or phenomenon/concept/idea. Since this section is to be a concise paragraph, emphasis must be placed on the word brief. However, adding these details will give your readers a very clear picture of the purpose of your project or dissertation-in-practice.

Developing the purpose section is usually not achieved in a single flash of insight. The process involves a great deal of reading to find out what other practitioners have done to address the problem you have identified. The purpose section could well be the most important paragraph you write during your academic career, and every word should be carefully selected. Think of it as the DNA of your project or study. Everything else you write should emerge directly and clearly from your purpose statement. In turn, your purpose statement should emerge directly and clearly from your problem description. It is good practice to print out your problem statement and purpose statement and keep them in front of you as you work on each part of your project or dissertation-in-practice in order to ensure alignment.

It is helpful to collect several project or dissertation-in-practice reports or literature similar to the one you envision creating. Extract the problem descriptions and purpose statements of other authors and compare them in order to sharpen your thinking about your own work.  Comparing how other authors have handled the many challenges you are facing can be an invaluable exercise. Keep in mind that individual universities use their own tailored protocols for presenting key components, so your review of these purpose statements should focus on content rather than form.

Once your purpose statement is set, it must be consistently presented throughout the project or dissertation-in-practice. This consistency may require some recursive editing because the way you articulate your purpose may evolve as you work on various aspects of your project or dissertation-in-practice. Whenever you make an adjustment to your purpose statement, you should carefully follow up on the editing and conceptual ramifications throughout the entire document.

In establishing your purpose, you should NOT advocate for a particular outcome. Your review of the literature should be done to answer questions, not to prove a point. As a scholar-practitioner, you are to inquire with an open mind, and even when you come to the work with clear assumptions, your job is to support the validity of the conclusions reached. For example, you would not say the purpose of your project or study is to demonstrate that there is a relationship between two variables. Such a statement presupposes you know the answer before your review of the literature conducted and promotes or supports (advocates on behalf of) a particular outcome. A more appropriate purpose statement would be to examine or explore the relationship between two variables. 

Your purpose statement should not imply that you are going to prove something. You may be surprised to learn that we cannot prove anything in scholarly review of the literature for two reasons. First, in quantitative analyses, statistical tests calculate the probability that something is true rather than establishing it as true. Second, in qualitative methodology, the study can only purport to describe what is occurring from the perspective of the participants. Whether or not the phenomenon they are describing is true in a larger context is not knowable. We cannot observe the phenomenon in all settings and in all circumstances. 

Here are some example purpose statements for your consideration.

Purpose Statement 1

The purpose of this qualitative project was to determine how participation in service-learning in an alternative school impacted students academically, civically, and personally.  There is ample evidence demonstrating the failure of schools for students at-risk; however, there is still a need to demonstrate why these students are successful in non-traditional educational programs like the service-learning model used at TDS.  This study was unique in that it examined one alternative school’s approach to service-learning in a setting where students not only serve, but faculty serve as volunteer teachers.  The use of a constructivist approach in service-learning in an alternative school setting was examined in an effort to determine whether service-learning participation contributes positively to academic, personal, and civic gain for students, and to examine student and teacher views regarding the overall outcomes of service-learning.  This study was completed using an ethnographic approach that included observations, content analysis, and interviews with teachers at The David School.

Purpose Statement 2

The purpose of this quantitative, non-experimental, cross-sectional linear, multiple regression design study was to investigate the relationship among early childhood teachers’ self-reported assessment of multicultural awareness as measured by responses from the Teacher Multicultural Attitude Survey (TMAS) and supervisors’ observed assessment of teachers’ multicultural competency skills as measured by the Multicultural Teaching Competency Scale (MTCS) survey. Demographic data such as number of multicultural training hours, years teaching in Dubai, curriculum program at current school, and age were also examined and their relationship to multicultural teaching competency. The study took place in the emirate of Dubai where there were 14,333 expatriate teachers employed in private schools (KHDA, 2013b). 

Purpose Statement 3

The purpose of this quantitative, non-experimental project is to examine the degree to which stages of change, gender, acculturation level and trauma types predicts the reluctance of Arab refugees, aged 18 and over, in the Dearborn, MI area, to seek professional help for their mental health needs. This study will utilize four instruments to measure these variables: University of Rhode Island Change Assessment (URICA: DiClemente & Hughes, 1990); Cumulative Trauma Scale (Kira, 2012); Acculturation Rating Scale for Arabic Americans-II Arabic and English (ARSAA-IIA, ARSAA-IIE: Jadalla & Lee, 2013), and a demographic survey. This study will examine 1) the relationship between stages of change, gender, acculturation levels, and trauma types and Arab refugees’ help-seeking behavior, 2) the degree to which any of these variables can predict Arab refugee help-seeking behavior.  Additionally, the outcome of this study could provide researchers and clinicians with a stage-based model, TTM, for measuring Arab refugees’ help-seeking behavior and lay a foundation for how TTM can help target the clinical needs of Arab refugees. Lastly, this attempt to apply the TTM model to Arab refugees’ condition could lay the foundation for future research to investigate the application of TTM to clinical work among refugee populations.

Purpose Statement 4

The purpose of this qualitative, phenomenological project is to describe the lived experiences of LLM for 10 EFL learners in rural Guatemala and to utilize that data to determine how it conforms to, or possibly challenges, current theoretical conceptions of LLM. In accordance with Morse’s (1994) suggestion that a phenomenological study should utilize at least six participants, this study utilized semi-structured interviews with 10 EFL learners to explore why and how they have experienced the motivation to learn English throughout their lives. The methodology of horizontalization was used to break the interview protocols into individual units of meaning before analyzing these units to extract the overarching themes (Moustakas, 1994). These themes were then interpreted into a detailed description of LLM as experienced by EFL students in this context. Finally, the resulting description was analyzed to discover how these learners’ lived experiences with LLM conformed with and/or diverged from current theories of LLM.

Purpose Statement 5

The purpose of this qualitative, embedded, multiple case project was to examine how both parent-child attachment relationships are impacted by the quality of the paternal and maternal caregiver-child interactions that occur throughout a maternal deployment, within the context of dual-military couples. In order to examine this phenomenon, an embedded, multiple case study was conducted, utilizing an attachment systems metatheory perspective. The study included four dual-military couples who experienced a maternal deployment to Operation Iraqi Freedom (OIF) or Operation Enduring Freedom (OEF) when they had at least one child between 8 weeks-old to 5 years-old.  Each member of the couple participated in an individual, semi-structured interview with the researcher and completed the Parenting Relationship Questionnaire (PRQ). “The PRQ is designed to capture a parent’s perspective on the parent-child relationship” (Pearson, 2012, para. 1) and was used within the proposed study for this purpose. The PRQ was utilized to triangulate the data (Bekhet & Zauszniewski, 2012) as well as to provide some additional information on the parents’ perspective of the quality of the parent-child attachment relationship in regards to communication, discipline, parenting confidence, relationship satisfaction, and time spent together (Pearson, 2012). The researcher utilized the semi-structured interview to collect information regarding the parents' perspectives of the quality of their parental caregiver behaviors during the deployment cycle, the mother's parent-child interactions while deployed, the behavior of the child or children at time of reunification, and the strategies or behaviors the parents believe may have contributed to their child's behavior at the time of reunification. The results of this project may be utilized by the military, and by civilian providers, to develop proactive and preventive measures that both providers and parents can implement, to address any potential adverse effects on the parent-child attachment relationship, identified through the proposed study. The results of this project may also be utilized to further refine and understand the integration of attachment theory and systems theory, in both clinical and research settings, within the field of marriage and family therapy. 

Compiled by Dr. Darren Adamson, Department Chair, School of Social and Behavioral Sciences 

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• What Is Quantitative Research? | Definition, Uses & Methods

What Is Quantitative Research? | Definition, Uses & Methods

Published on June 12, 2020 by Pritha Bhandari . Revised on June 22, 2023.

Quantitative research is the process of collecting and analyzing numerical data. It can be used to find patterns and averages, make predictions, test causal relationships, and generalize results to wider populations.

Quantitative research is the opposite of qualitative research , which involves collecting and analyzing non-numerical data (e.g., text, video, or audio).

Quantitative research is widely used in the natural and social sciences: biology, chemistry, psychology, economics, sociology, marketing, etc.

• What is the demographic makeup of Singapore in 2020?
• How has the average temperature changed globally over the last century?
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Table of contents

Quantitative research methods, quantitative data analysis, advantages of quantitative research, disadvantages of quantitative research, other interesting articles, frequently asked questions about quantitative research.

You can use quantitative research methods for descriptive, correlational or experimental research.

• In descriptive research , you simply seek an overall summary of your study variables.
• In correlational research , you investigate relationships between your study variables.
• In experimental research , you systematically examine whether there is a cause-and-effect relationship between variables.

Correlational and experimental research can both be used to formally test hypotheses , or predictions, using statistics. The results may be generalized to broader populations based on the sampling method used.

To collect quantitative data, you will often need to use operational definitions that translate abstract concepts (e.g., mood) into observable and quantifiable measures (e.g., self-ratings of feelings and energy levels).

Note that quantitative research is at risk for certain research biases , including information bias , omitted variable bias , sampling bias , or selection bias . Be sure that you’re aware of potential biases as you collect and analyze your data to prevent them from impacting your work too much.

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Once data is collected, you may need to process it before it can be analyzed. For example, survey and test data may need to be transformed from words to numbers. Then, you can use statistical analysis to answer your research questions .

Descriptive statistics will give you a summary of your data and include measures of averages and variability. You can also use graphs, scatter plots and frequency tables to visualize your data and check for any trends or outliers.

Using inferential statistics , you can make predictions or generalizations based on your data. You can test your hypothesis or use your sample data to estimate the population parameter .

First, you use descriptive statistics to get a summary of the data. You find the mean (average) and the mode (most frequent rating) of procrastination of the two groups, and plot the data to see if there are any outliers.

You can also assess the reliability and validity of your data collection methods to indicate how consistently and accurately your methods actually measured what you wanted them to.

Quantitative research is often used to standardize data collection and generalize findings . Strengths of this approach include:

• Replication

Repeating the study is possible because of standardized data collection protocols and tangible definitions of abstract concepts.

• Direct comparisons of results

The study can be reproduced in other cultural settings, times or with different groups of participants. Results can be compared statistically.

• Large samples

Data from large samples can be processed and analyzed using reliable and consistent procedures through quantitative data analysis.

• Hypothesis testing

Using formalized and established hypothesis testing procedures means that you have to carefully consider and report your research variables, predictions, data collection and testing methods before coming to a conclusion.

Despite the benefits of quantitative research, it is sometimes inadequate in explaining complex research topics. Its limitations include:

• Superficiality

Using precise and restrictive operational definitions may inadequately represent complex concepts. For example, the concept of mood may be represented with just a number in quantitative research, but explained with elaboration in qualitative research.

• Narrow focus

Predetermined variables and measurement procedures can mean that you ignore other relevant observations.

• Structural bias

Despite standardized procedures, structural biases can still affect quantitative research. Missing data , imprecise measurements or inappropriate sampling methods are biases that can lead to the wrong conclusions.

• Lack of context

Quantitative research often uses unnatural settings like laboratories or fails to consider historical and cultural contexts that may affect data collection and results.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Chi square goodness of fit test
• Degrees of freedom
• Null hypothesis
• Discourse analysis
• Control groups
• Mixed methods research
• Non-probability sampling
• Inclusion and exclusion criteria

Research bias

• Rosenthal effect
• Implicit bias
• Cognitive bias
• Selection bias
• Negativity bias
• Status quo bias

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organizations.

Operationalization means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioral avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalize the variables that you want to measure.

Reliability and validity are both about how well a method measures something:

• Reliability refers to the  consistency of a measure (whether the results can be reproduced under the same conditions).
• Validity   refers to the  accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research, you also have to consider the internal and external validity of your experiment.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

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The Why: Explaining the significance of your research

In the first four articles of this series, we examined The What: Defining a research project , The Where: Constructing an effective writing environment , The When: Setting realistic timeframes for your research , and The Who: Finding key sources in the existing literature . In this article, we will explore the fifth, and final, W of academic writing, The Why: Explaining the significance of your research.

Q1: When considering the significance of your research, what is the general contribution you make?

According to the Unite for Sight online module titled “ The Importance of Research ”:

“The purpose of research is to inform action. Thus, your study should seek to contextualize its findings within the larger body of research. Research must always be of high quality in order to produce knowledge that is applicable outside of the research setting. Furthermore, the results of your study may have implications for policy and future project implementation.”

In response to this TweetChat question, Twitter user @aemidr shared that the “dissemination of the research outcomes” is their contribution. Petra Boynton expressed a contribution of “easy to follow resources other people can use to help improve their health/wellbeing”.

Eric Schmieder said, “In general, I try to expand the application of technology to improve the efficiency of business processes through my research and personal use and development of technology solutions.” While Janet Salmons offered the response, “ I am a metaresearcher , that is, I research emerging qualitative methods & write about them. I hope contribution helps student & experienced researchers try new approaches.”

Despite the different contributions each of these participants noted as the significance of their individual research efforts, there is a significance to each. In addition to the importance stated through the above examples, Leann Zarah offered 7 Reasons Why Research Is Important , as follows:

• A Tool for Building Knowledge and for Facilitating Learning
• Means to Understand Various Issues and Increase Public Awareness
• An Aid to Business Success
• A Way to Prove Lies and to Support Truths
• Means to Find, Gauge, and Seize Opportunities
• A Seed to Love Reading, Writing, Analyzing, and Sharing Valuable Information
• Nourishment and Exercise for the Mind

Q1a: What is the specific significance of your research to yourself or other individuals?

The first of “ 3 Important Things to Consider When Selecting Your Research Topic ”, as written by Stephen Fiedler is to “choose something that interests you”. By doing so, you are more likely to stay motivated and persevere through inevitable challenges.

As mentioned earlier, for Salmons her interests lie in emerging methods and new approaches to research. As Salmons pointed out in the TweetChat, “Conventional methods may not be adequate in a globally-connected world – using online methods expands potential participation.”

For @aemidr, “specific significance of my research is on health and safety from the environment and lifestyle”. In contrast, Schmieder said “my ongoing research allows me to be a better educator, to be more efficient in my own business practices, and to feel comfortable engaging with new technology”.

Regardless of discipline, a personal statement can help identify for yourself and others your suitability for specific research. Some things to include in the statement are:

• Your reasons for choosing your topic of research
• The aspects of your topic of research that interest you most
• Any work experience, placement or voluntary work you have undertaken, particularly if it is relevant to your subject. Include the skills and abilities you have gained from these activities
• How your choice of research fits in with your future career plans

Q2: Why is it important to communicate the value of your research?

According to Salmons, “If you research and no one knows about it or can use what you discover, it is just an intellectual exercise. If we want the public to support & fund research, we must show why it’s important!” She has written for the SAGE MethodSpace blog on the subject Write with Purpose, Publish for Impact building a collection of articles from both the MethodSpace blog and TAA’s blog, Abstract .

Peter J. Stogios shares with us benefits to both the scientist and the public in his article, “ Why Sharing Your Research with the Public is as Necessary as Doing the Research Itself ”. Unsure where to start? Stogios states, “There are many ways scientists can communicate more directly with the public. These include writing a personal blog, updating their lab’s or personal website to be less technical and more accessible to non-scientists, popular science forums and message boards, and engaging with your institution’s research communication office. Most organizations publish newsletters or create websites showcasing the work being done, and act as intermediaries between the researchers and the media. Scientists can and should interact more with these communicators.”

Schmieder stated during the TweetChat that the importance of communicating the value of your research is “primarily to help others understand why you do what you do, but also for funding purposes, application of your results by others, and increased personal value and validation”.

In her article, “ Explaining Your Research to the Public: Why It Matters, How to Do It! ”, Sharon Page-Medrich conveys the importance, stating “UC Berkeley’s 30,000+ undergraduate and 11,000+ graduate students generate or contribute to diverse research in the natural and physical sciences, social sciences and humanities, and many professional fields. Such research and its applications are fundamental to saving lives, restoring healthy environments, making art and preserving culture, and raising standards of living. Yet the average person-in-the-street may not see the connection between students’ investigations and these larger outcomes.”

Q2a: To whom is it most difficult to explain that value?

Although important, it’s not always easy to share our research efforts with others. Erin Bedford sets the scene as she tells us “ How to (Not) Talk about Your Research ”. “It’s happened to the best of us. First, the question: ‘so, what is your research on?’ Then, the blank stare as you try to explain. And finally, the uninterested but polite nod and smile.”

Schmieder acknowledges that these polite people who care enough to ask, but often are the hardest to explain things to are “family and friends who don’t share the same interests or understanding of the subject matter.” It’s not that they don’t care about the efforts, it’s that the level to which a researcher’s investment and understanding is different from those asking about their work.

When faced with less-than-supportive reactions from friends, Noelle Sterne shares some ways to retain your perspective and friendship in her TAA blog article, “ Friends – How to deal with their negative responses to your academic projects ”.

Q3: What methods have you used to explain your research to others (both inside and outside of your discipline)?

Schmieder stated, “I have done webinars, professional development seminars, blog articles, and online courses” in an effort to communicate research to others. The Edinburg Napier University LibGuides guide to Sharing Your Research includes some of these in their list of resources as well adding considerations of online presence, saving time / online efficiency, copyright, and compliance to the discussion.

Michaela Panter states in her article, “ Sharing Your Findings with a General Audience ”, that “tips and guidelines for conveying your research to a general audience are increasingly widespread, yet scientists remain wary of doing so.” She notes, however, that “effectively sharing your research with a general audience can positively affect funding for your work” and “engaging the general public can further the impact of your research”.

If these are affects you desire, consider CES’s “ Six ways to share your research findings ”, as follows:

• Know your audience and define your goal
• Collaborate with others
• Make a plan
• Embrace plain language writing
• Layer and link, and
• Evaluate your work

Q4: What are some places you can share your research and its significance beyond your writing?

Beyond traditional journal article publication efforts, there are many opportunities to share your research with a larger community. Schmieder listed several options during the TweetChat event, specifically, “conference presentations, social media, blogs, professional networks and organizations, podcasts, and online courses”.

Elsevier’s resource, “ Sharing and promoting your article ” provides advice on sharing your article in the following ten places:

• At a conference
• For classroom teaching purposes
• For grant applications
• With my colleagues
• On a preprint server
• On my personal blog or website
• On my institutional repository
• On a subject repository (or other non-commercial repository)
• On Scholarly Communication Network (SCN), such as Mendeley or Scholar Universe
• Social Media, such as Facebook, LinkedIn, Twitter

Nature Publishing Group’s “ tips for promoting your research ” include nine ways to get started:

• Share your work with your social networks
• Update your professional profile
• Utilize research-sharing platforms
• Create a Google Scholar profile – or review and enhance your existing one
• Highlight key and topical points in a blog post
• Make your research outputs shareable and discoverable
• Register for a unique ORCID author identifier
• Encourage readership within your institution

Finally, Sheffield Solutions produced a top ten list of actions you can take to help share and disseminate your work more widely online, as follows:

• Create an ORCID ID
• Upload to Sheffield’s MyPublications system
• Make your work Open Access
• Create a Google Scholar profile
• Join an academic social network
• Connect through Twitter
• Blog about your research
• Upload to Slideshare or ORDA
• Track your research

Q5: How is the significance of your study conveyed in your writing efforts?

Schmieder stated, “Significance is conveyed through the introduction, the structure of the study, and the implications for further research sections of articles”. According to The Writing Center at University of North Carolina at Chapel Hill, “A thesis statement tells the reader how you will interpret the significance of the subject matter under discussion”.

In their online Tips & Tools resource on Thesis Statements , they share the following six questions to ask to help determine if your thesis is strong:

• Do I answer the question?
• Have I taken a position that others might challenge or oppose?
• Is my thesis statement specific enough?
• Does my thesis pass the “So what?” test?
• Does my essay support my thesis specifically and without wandering?
• Does my thesis pass the “how and why?” test?

Some journals, such as Elsevier’s Acta Biomaterialia, now require a statement of significance with manuscript submissions. According to the announcement linked above, “these statements will address the novelty aspect and the significance of the work with respect to the existing literature and more generally to the society.” and “by highlighting the scientific merit of your research, these statements will help make your work more visible to our readership.”

Q5a: How does the significance influence the structure of your writing?

According to Jeff Hume-Pratuch in the Academic Coaching & Writing (ACW) article, “ Using APA Style in Academic Writing: Precision and Clarity ”, “The need for precision and clarity of expression is one of the distinguishing marks of academic writing.” As a result, Hume-Pratuch advises that you “choose your words wisely so that they do not come between your idea and the audience.” To do so, he suggests avoiding ambiguous expressions, approximate language, and euphemisms and jargon in your writing.

Schmieder shared in the TweetChat that “the impact of the writing is affected by the target audience for the research and can influence word choice, organization of ideas, and elements included in the narrative”.

Discussing the organization of ideas, Patrick A. Regoniel offers “ Two Tips in Writing the Significance of the Study ” claiming that by referring to the statement of the problem and writing from general to specific contribution, you can “prevent your mind from wandering wildly or aimlessly as you explore the significance of your study”.

Q6: What are some ways you can improve your ability to explain your research to others?

For both Schmieder and Salmons, practice is key. Schmieder suggested, “Practice simplifying the concepts. Focus on why rather than what. Share research in areas where they are active and comfortable”. Salmons added, “answer ‘so what’ and ‘who cares’ questions. Practice creating a sentence. For my study of the collaborative process: ‘Learning to collaborate is important for team success in professional life’ works better than ‘a phenomenological study of instructors’ perceptions’”.

In a guest blog post for Scientific American titled “ Effective Communication, Better Science ”, Mónica I. Feliú-Mójer claimed “to be a successful scientist, you must be an effective communicator.” In support of the goal of being an effective communicator, a list of training opportunities and other resources are included in the article.

Along the same lines, The University of Melbourne shared the following list of resources, workshops, and programs in their online resource on academic writing and communication skills :

• Speaking and Presenting : Resources for presenting your research, using PowerPoint to your advantage, presenting at conferences and helpful videos on presenting effectively
• Research Impact Library Advisory Service  (RILAS): Helps you to determine the impact of your publications and other research outputs for academic promotions and grant applications
• Three Minute Thesis Competition  (3MT): Research communication competition that requires you to deliver a compelling oration on your thesis topic and its significance in just three minutes or less.
• Visualise your Thesis Competition : A dynamic and engaging audio-visual “elevator pitch” (e-Poster) to communicate your research to a broad non-specialist audience in 60 seconds.

As we complete this series exploration of the five W’s of academic writing, we hope that you are adequately prepared to apply them to your own research efforts of defining a research project, constructing an effective writing environment, setting realistic timeframes for your research, finding key sources in the existing literature, and last, but not least, explaining the significance of your research.

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Educational resources and simple solutions for your research journey

What is the Background of a Study and How to Write It (Examples Included)

Have you ever found yourself struggling to write a background of the study for your research paper? You’re not alone. While the background of a study is an essential element of a research manuscript, it’s also one of the most challenging pieces to write. This is because it requires researchers to provide context and justification for their research, highlight the significance of their study, and situate their work within the existing body of knowledge in the field.  

Despite its challenges, the background of a study is crucial for any research paper. A compelling well-written background of the study can not only promote confidence in the overall quality of your research analysis and findings, but it can also determine whether readers will be interested in knowing more about the rest of the research study.  

In this article, we’ll explore the key elements of the background of a study and provide simple guidelines on how to write one effectively. Whether you’re a seasoned researcher or a graduate student working on your first research manuscript, this post will explain how to write a background for your study that is compelling and informative.  

Table of Contents

What is the background of a study ?  

Typically placed in the beginning of your research paper, the background of a study serves to convey the central argument of your study and its significance clearly and logically to an uninformed audience. The background of a study in a research paper helps to establish the research problem or gap in knowledge that the study aims to address, sets the stage for the research question and objectives, and highlights the significance of the research. The background of a study also includes a review of relevant literature, which helps researchers understand where the research study is placed in the current body of knowledge in a specific research discipline. It includes the reason for the study, the thesis statement, and a summary of the concept or problem being examined by the researcher. At times, the background of a study can may even examine whether your research supports or contradicts the results of earlier studies or existing knowledge on the subject.  

How is the background of a study different from the introduction?  

It is common to find early career researchers getting confused between the background of a study and the introduction in a research paper. Many incorrectly consider these two vital parts of a research paper the same and use these terms interchangeably. The confusion is understandable, however, it’s important to know that the introduction and the background of the study are distinct elements and serve very different purposes.   

• The basic different between the background of a study and the introduction is kind of information that is shared with the readers . While the introduction provides an overview of the specific research topic and touches upon key parts of the research paper, the background of the study presents a detailed discussion on the existing literature in the field, identifies research gaps, and how the research being done will add to current knowledge.  
• The introduction aims to capture the reader’s attention and interest and to provide a clear and concise summary of the research project. It typically begins with a general statement of the research problem and then narrows down to the specific research question. It may also include an overview of the research design, methodology, and scope. The background of the study outlines the historical, theoretical, and empirical background that led to the research question to highlight its importance. It typically offers an overview of the research field and may include a review of the literature to highlight gaps, controversies, or limitations in the existing knowledge and to justify the need for further research.  
• Both these sections appear at the beginning of a research paper. In some cases the introduction may come before the background of the study , although in most instances the latter is integrated into the introduction itself. The length of the introduction and background of a study can differ based on the journal guidelines and the complexity of a specific research study.  

Learn to convey study relevance, integrate literature reviews, and articulate research gaps in the background section. Get your All Access Pack now!    

To put it simply, the background of the study provides context for the study by explaining how your research fills a research gap in existing knowledge in the field and how it will add to it. The introduction section explains how the research fills this gap by stating the research topic, the objectives of the research and the findings – it sets the context for the rest of the paper.   

Where is the background of a study placed in a research paper?  

T he background of a study is typically placed in the introduction section of a research paper and is positioned after the statement of the problem. Researchers should try and present the background of the study in clear logical structure by dividing it into several sections, such as introduction, literature review, and research gap. This will make it easier for the reader to understand the research problem and the motivation for the study.  

So, when should you write the background of your study ? It’s recommended that researchers write this section after they have conducted a thorough literature review and identified the research problem, research question, and objectives. This way, they can effectively situate their study within the existing body of knowledge in the field and provide a clear rationale for their research.  

Creating an effective background of a study structure  

Given that the purpose of writing the background of your study is to make readers understand the reasons for conducting the research, it is important to create an outline and basic framework to work within. This will make it easier to write the background of the study and will ensure that it is comprehensive and compelling for readers.  

While creating a background of the study structure for research papers, it is crucial to have a clear understanding of the essential elements that should be included. Make sure you incorporate the following elements in the background of the study section :   

• Present a general overview of the research topic, its significance, and main aims; this may be like establishing the “importance of the topic” in the introduction.   
• Discuss the existing level of research done on the research topic or on related topics in the field to set context for your research. Be concise and mention only the relevant part of studies, ideally in chronological order to reflect the progress being made.  
• Highlight disputes in the field as well as claims made by scientists, organizations, or key policymakers that need to be investigated. This forms the foundation of your research methodology and solidifies the aims of your study.   
• Describe if and how the methods and techniques used in the research study are different from those used in previous research on similar topics.   

By including these critical elements in the background of your study , you can provide your readers with a comprehensive understanding of your research and its context.  

How to write a background of the study in research papers ?  

Now that you know the essential elements to include, it’s time to discuss how to write the background of the study in a concise and interesting way that engages audiences. The best way to do this is to build a clear narrative around the central theme of your research so that readers can grasp the concept and identify the gaps that the study will address. While the length and detail presented in the background of a study could vary depending on the complexity and novelty of the research topic, it is imperative to avoid wordiness. For research that is interdisciplinary, mentioning how the disciplines are connected and highlighting specific aspects to be studied helps readers understand the research better.   

While there are different styles of writing the background of a study , it always helps to have a clear plan in place. Let us look at how to write a background of study for research papers.    

• Identify the research problem: Begin the background by defining the research topic, and highlighting the main issue or question that the research aims to address. The research problem should be clear, specific, and relevant to the field of study. It should be framed using simple, easy to understand language and must be meaningful to intended audiences.  
• Craft an impactful statement of the research objectives: While writing the background of the study it is critical to highlight the research objectives and specific goals that the study aims to achieve. The research objectives should be closely related to the research problem and must be aligned with the overall purpose of the study.  
• Conduct a review of available literature: When writing the background of the research , provide a summary of relevant literature in the field and related research that has been conducted around the topic. Remember to record the search terms used and keep track of articles that you read so that sources can be cited accurately. Ensure that the literature you include is sourced from credible sources.  
• Address existing controversies and assumptions: It is a good idea to acknowledge and clarify existing claims and controversies regarding the subject of your research. For example, if your research topic involves an issue that has been widely discussed due to ethical or politically considerations, it is best to address them when writing the background of the study .  
• Present the relevance of the study: It is also important to provide a justification for the research. This is where the researcher explains why the study is important and what contributions it will make to existing knowledge on the subject. Highlighting key concepts and theories and explaining terms and ideas that may feel unfamiliar to readers makes the background of the study content more impactful.  
• Proofread to eliminate errors in language, structure, and data shared: Once the first draft is done, it is a good idea to read and re-read the draft a few times to weed out possible grammatical errors or inaccuracies in the information provided. In fact, experts suggest that it is helpful to have your supervisor or peers read and edit the background of the study . Their feedback can help ensure that even inadvertent errors are not overlooked.  

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How to avoid mistakes in writing the background of a study  

While figuring out how to write the background of a study , it is also important to know the most common mistakes authors make so you can steer clear of these in your research paper.   

• Write the background of a study in a formal academic tone while keeping the language clear and simple. Check for the excessive use of jargon and technical terminology that could confuse your readers.   
• Avoid including unrelated concepts that could distract from the subject of research. Instead, focus your discussion around the key aspects of your study by highlighting gaps in existing literature and knowledge and the novelty and necessity of your study.   
• Provide relevant, reliable evidence to support your claims and citing sources correctly; be sure to follow a consistent referencing format and style throughout the paper.   
• Ensure that the details presented in the background of the study are captured chronologically and organized into sub-sections for easy reading and comprehension.  
• Check the journal guidelines for the recommended length for this section so that you include all the important details in a concise manner. 

By keeping these tips in mind, you can create a clear, concise, and compelling background of the study for your research paper. Take this example of a background of the study on the impact of social media on mental health.  

Social media has become a ubiquitous aspect of modern life, with people of all ages, genders, and backgrounds using platforms such as Facebook, Instagram, and Twitter to connect with others, share information, and stay updated on news and events. While social media has many potential benefits, including increased social connectivity and access to information, there is growing concern about its impact on mental health.   Research has suggested that social media use is associated with a range of negative mental health outcomes, including increased rates of anxiety, depression, and loneliness. This is thought to be due, in part, to the social comparison processes that occur on social media, whereby users compare their lives to the idealized versions of others that are presented online.   Despite these concerns, there is also evidence to suggest that social media can have positive effects on mental health. For example, social media can provide a sense of social support and community, which can be beneficial for individuals who are socially isolated or marginalized.   Given the potential benefits and risks of social media use for mental health, it is important to gain a better understanding of the mechanisms underlying these effects. This study aims to investigate the relationship between social media use and mental health outcomes, with a particular focus on the role of social comparison processes. By doing so, we hope to shed light on the potential risks and benefits of social media use for mental health, and to provide insights that can inform interventions and policies aimed at promoting healthy social media use.  

To conclude, the background of a study is a crucial component of a research manuscript and must be planned, structured, and presented in a way that attracts reader attention, compels them to read the manuscript, creates an impact on the minds of readers and sets the stage for future discussions. 

A well-written background of the study not only provides researchers with a clear direction on conducting their research, but it also enables readers to understand and appreciate the relevance of the research work being done.   

Frequently Asked Questions (FAQs) on background of the study

Q: How does the background of the study help the reader understand the research better?

The background of the study plays a crucial role in helping readers understand the research better by providing the necessary context, framing the research problem, and establishing its significance. It helps readers:

• understand the larger framework, historical development, and existing knowledge related to a research topic
• identify gaps, limitations, or unresolved issues in the existing literature or knowledge
• outline potential contributions, practical implications, or theoretical advancements that the research aims to achieve
• and learn the specific context and limitations of the research project

Q: Does the background of the study need citation?

Yes, the background of the study in a research paper should include citations to support and acknowledge the sources of information and ideas presented. When you provide information or make statements in the background section that are based on previous studies, theories, or established knowledge, it is important to cite the relevant sources. This establishes credibility, enables verification, and demonstrates the depth of literature review you’ve done.

Q: What is the difference between background of the study and problem statement?

The background of the study provides context and establishes the research’s foundation while the problem statement clearly states the problem being addressed and the research questions or objectives.

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How to Write the Rationale of the Study in Research (Examples)

What is the Rationale of the Study?

The rationale of the study is the justification for taking on a given study. It explains the reason the study was conducted or should be conducted. This means the study rationale should explain to the reader or examiner why the study is/was necessary. It is also sometimes called the “purpose” or “justification” of a study. While this is not difficult to grasp in itself, you might wonder how the rationale of the study is different from your research question or from the statement of the problem of your study, and how it fits into the rest of your thesis or research paper. 

The rationale of the study links the background of the study to your specific research question and justifies the need for the latter on the basis of the former. In brief, you first provide and discuss existing data on the topic, and then you tell the reader, based on the background evidence you just presented, where you identified gaps or issues and why you think it is important to address those. The problem statement, lastly, is the formulation of the specific research question you choose to investigate, following logically from your rationale, and the approach you are planning to use to do that.

Table of Contents:

How to write a rationale for a research paper , how do you justify the need for a research study.

• Study Rationale Example: Where Does It Go In Your Paper?

The basis for writing a research rationale is preliminary data or a clear description of an observation. If you are doing basic/theoretical research, then a literature review will help you identify gaps in current knowledge. In applied/practical research, you base your rationale on an existing issue with a certain process (e.g., vaccine proof registration) or practice (e.g., patient treatment) that is well documented and needs to be addressed. By presenting the reader with earlier evidence or observations, you can (and have to) convince them that you are not just repeating what other people have already done or said and that your ideas are not coming out of thin air. 

Once you have explained where you are coming from, you should justify the need for doing additional research–this is essentially the rationale of your study. Finally, when you have convinced the reader of the purpose of your work, you can end your introduction section with the statement of the problem of your research that contains clear aims and objectives and also briefly describes (and justifies) your methodological approach. 

When is the Rationale for Research Written?

The author can present the study rationale both before and after the research is conducted. 

• Before conducting research : The study rationale is a central component of the research proposal . It represents the plan of your work, constructed before the study is actually executed.
• Once research has been conducted : After the study is completed, the rationale is presented in a research article or  PhD dissertation  to explain why you focused on this specific research question. When writing the study rationale for this purpose, the author should link the rationale of the research to the aims and outcomes of the study.

What to Include in the Study Rationale

Although every study rationale is different and discusses different specific elements of a study’s method or approach, there are some elements that should be included to write a good rationale. Make sure to touch on the following:

• A summary of conclusions from your review of the relevant literature
• What is currently unknown (gaps in knowledge)
• Inconclusive or contested results  from previous studies on the same or similar topic
• The necessity to improve or build on previous research, such as to improve methodology or utilize newer techniques and/or technologies

There are different types of limitations that you can use to justify the need for your study. In applied/practical research, the justification for investigating something is always that an existing process/practice has a problem or is not satisfactory. Let’s say, for example, that people in a certain country/city/community commonly complain about hospital care on weekends (not enough staff, not enough attention, no decisions being made), but you looked into it and realized that nobody ever investigated whether these perceived problems are actually based on objective shortages/non-availabilities of care or whether the lower numbers of patients who are treated during weekends are commensurate with the provided services.

In this case, “lack of data” is your justification for digging deeper into the problem. Or, if it is obvious that there is a shortage of staff and provided services on weekends, you could decide to investigate which of the usual procedures are skipped during weekends as a result and what the negative consequences are. 

In basic/theoretical research, lack of knowledge is of course a common and accepted justification for additional research—but make sure that it is not your only motivation. “Nobody has ever done this” is only a convincing reason for a study if you explain to the reader why you think we should know more about this specific phenomenon. If there is earlier research but you think it has limitations, then those can usually be classified into “methodological”, “contextual”, and “conceptual” limitations. To identify such limitations, you can ask specific questions and let those questions guide you when you explain to the reader why your study was necessary:

Methodological limitations

• Did earlier studies try but failed to measure/identify a specific phenomenon?
• Was earlier research based on incorrect conceptualizations of variables?
• Were earlier studies based on questionable operationalizations of key concepts?
• Did earlier studies use questionable or inappropriate research designs?

Contextual limitations

• Have recent changes in the studied problem made previous studies irrelevant?
• Are you studying a new/particular context that previous findings do not apply to?

Conceptual limitations

• Do previous findings only make sense within a specific framework or ideology?

Study Rationale Examples

Let’s look at an example from one of our earlier articles on the statement of the problem to clarify how your rationale fits into your introduction section. This is a very short introduction for a practical research study on the challenges of online learning. Your introduction might be much longer (especially the context/background section), and this example does not contain any sources (which you will have to provide for all claims you make and all earlier studies you cite)—but please pay attention to how the background presentation , rationale, and problem statement blend into each other in a logical way so that the reader can follow and has no reason to question your motivation or the foundation of your research.

Background presentation

Since the beginning of the Covid pandemic, most educational institutions around the world have transitioned to a fully online study model, at least during peak times of infections and social distancing measures. This transition has not been easy and even two years into the pandemic, problems with online teaching and studying persist (reference needed) . 

While the increasing gap between those with access to technology and equipment and those without access has been determined to be one of the main challenges (reference needed) , others claim that online learning offers more opportunities for many students by breaking down barriers of location and distance (reference needed) .  

Rationale of the study

Since teachers and students cannot wait for circumstances to go back to normal, the measures that schools and universities have implemented during the last two years, their advantages and disadvantages, and the impact of those measures on students’ progress, satisfaction, and well-being need to be understood so that improvements can be made and demographics that have been left behind can receive the support they need as soon as possible.

Statement of the problem

To identify what changes in the learning environment were considered the most challenging and how those changes relate to a variety of student outcome measures, we conducted surveys and interviews among teachers and students at ten institutions of higher education in four different major cities, two in the US (New York and Chicago), one in South Korea (Seoul), and one in the UK (London). Responses were analyzed with a focus on different student demographics and how they might have been affected differently by the current situation.

How long is a study rationale?

In a research article bound for journal publication, your rationale should not be longer than a few sentences (no longer than one brief paragraph). A  dissertation or thesis  usually allows for a longer description; depending on the length and nature of your document, this could be up to a couple of paragraphs in length. A completely novel or unconventional approach might warrant a longer and more detailed justification than an approach that slightly deviates from well-established methods and approaches.

Consider Using Professional Academic Editing Services

Now that you know how to write the rationale of the study for a research proposal or paper, you should make use of Wordvice AI’s free AI Grammar Checker , or receive professional academic proofreading services from Wordvice, including research paper editing services and manuscript editing services to polish your submitted research documents.

You can also find many more articles, for example on writing the other parts of your research paper , on choosing a title , or on making sure you understand and adhere to the author instructions before you submit to a journal, on the Wordvice academic resources pages.

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The Purpose of the Study should b e a clear and accurate statement of the scientific purpose/objectives of the research.  

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Purpose of the Study

The Purpose of the Study statement helps the subject assess the importance of the study relative to individual values.   The statement should include not only the immediate purpose of the study, but also any larger, eventual purpose.     

The Purpose of the Study portion of the Consent Form should not reflect a potential benefit to the subject or be directed toward the subject in any way.   For example, “the purpose of this study is to compare the effectiveness of exercise A to exercise B as a method that can be used to increase quadriceps muscle” is acceptable.   However, a statement, “the purpose of this study is to compare the effectiveness of exercise A to exercise B as a method that can be used to increase your quadriceps muscle” is unacceptable.  

If the study involves deception or the withholding of information as a necessary and justifiable research strategy, the Purpose of the Study statement should be written in such a way whereby the least possible deception and/or withholding of information occurs.    

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How to Determine the Scope of Research | Examples & Tips

Introduction

What is the scope of a study, what is a research scope example, what is the purpose of the research scope, what considerations are relevant to the research scope, how do i write the scope in a report.

The scope of a research project is one of the more important yet sometimes understated aspects of a study. The scope of the study explains what the researchers are examining and what environment they are studying.

This article explains the general purpose of the research scope, how it informs the broader study at hand, and how it can be incorporated in a research paper to establish the necessary transparency and rigor for your research audience.

Scientific knowledge very rarely, if ever, produces universal axioms. The boiling point of water changes depending on the amount of pressure in the air and, by extension, the altitude you are at relative to sea level when you boil water. What looks like polite behavior in a given culture may look rude in another. The definition of beauty is bound to change as people get older.

Similarly, research findings that aren't contextualized are less persuasive. If you are reading a study that looks at interactional patterns between parents and their children, it's important to have a clear sense of the theoretical lens , data collection , and analysis in order to determine the extent to which the findings are applicable across contexts.

In a nutshell, the scope tells you what the researchers are looking at and are not looking at. It provides the context necessary to understand the research, how it was conducted, and what findings it generated.

Conversely, establishing the bounds of the scope also clarify what research inquiries are not addressed in the study, ensuring that the study's argumentation is clearly grounded in the theory, data, and analysis.

Let's imagine an example of a research study examining best practices for mental health. The research design centers on a survey study with a target population of college students with part-time jobs in addition to their coursework.

The researchers can focus on any number of things affecting mental health, including lifestyle factors such as sleep, socioeconomic factors such as income, and even influences further afield like the political alignment of friends and family.

Certainly, any of these things can have a profound impact on one's mental health. But when there are so many things to examine, it's necessary to narrow down what the research project at hand should examine.

The scope of the study can come down to any number of things, including the researchers' interest, the current state of theoretical development on the subject of mental health, and the design of the study, particularly how the data is collected. It might even boil down to influences like geographical location, which can determine the kind of research participants involved in the study.

All of these factors can inform an explicit description of the scope, which might look like this if found in the methodology section of a paper:

"In this study, the researchers focused on surveying college students over four months, roughly the same time frame as a semester at a university in the United States. Surveys were distributed to all college students, but this paper will narrow the data analysis to those students who reported having part-time jobs. This refined lens aligns with our interest in examining work-related factors contributing to negative mental health outcomes, as established in previous studies."

The above example of a study's scope highlights what the researchers focused on during the study and while analyzing the data. The researchers chose to study a narrow subset of their data to generate insights most applicable to their research interests. The researchers might also analyze the proportion of students that reported having part-time jobs to give a broader description of the study body, but they clearly focus on understanding the mental health of students with part-time jobs.

Moreover, the narrow scope allows the researchers to focus on a small number of elements in the relationship between mental health and work, which allows the researchers to make deeper contributions to this specific part of the conversation around students' mental health.

Defining the scope of the study benefits both the researcher and their audience. Ultimately, establishing transparency in a research project focuses the data collection and analysis processes and makes the findings more compelling and persuasive.

Describing the scope can clarify what specific concepts should be used and examined during the course of the study. A good scope can keep the researcher focused on what data to collect and what ancillary developments, however interesting or useful, should be discarded or left to another study. Setting a clear scope can greatly help researchers maintain a coherent fit between their research question, collected data, and ultimate findings. Journal editors and reviewers often reject papers for publication because of a lack of fit between these important elements, which highlights the value of a clear research scope for conducting rigorous research.

In logistical terms, a well-defined scope also ensures the feasibility of a study by limiting the researcher's lens to a small but manageable set of factors to observe and analyze during the course of the study. Conversely, an unfocused study makes the collection of data a significant challenge when the researcher is left to document as much as possible, potentially gathering all kinds of data that may not be relevant to a given research question , while not gathering enough of the appropriate data that can address a research inquiry.

The research audience also requires an understanding of the scope of the study to determine the relevance of the findings to their own research inquiry. Readers of research bring their own assumptions and preconceived notions about what to look at in a given context. A well-written scope, on the other hand, gives readers clear guidance on what to look for in the study's analysis and findings.

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Besides the research area being studied, the scope of a study has a clear description of most of the following aspects. Understanding what makes rigorous research and what readers of research look for in a well-crafted study will be useful for describing the scope of a research project.

Target population

The kind of research participants you are including in a study informs what theories are relevant and how the study should be designed. Are you researching children, young adults, or older professionals? Do they belong to a specific culture or community? Are they connected or related to each other in some way or do they just happen to belong to the same demographic?

Because qualitative, social science research seldom yields universal theories, it's important to narrow the scope of a study down to a specific set of the population. The more specific the scope, the more that the findings and resulting theoretical developments can be appropriately contextualized and thus inform how other researchers can build on those insights.

Geographical location

The geographical location covered by the study provides a necessary context for any study in the social sciences. Even if you narrow the targeted population to a specific demographic, what is true for that population in one country or region may not be true for another.

As a result, a scope that describes the location of the study explains where the findings are most relevant and where they might be relevant for further study.

Data collection

If you are conducting observational or ethnographic research , it may seem like you are facing a firehose when it comes to collecting data. Even interviews , focus groups , and surveys can provide a torrent of data, much of which may not be relevant to your inquiry if the study design isn't refined.

Without a sufficiently defined scope that identifies what aspects of the world you are looking at, the data you collect may become unmanageable at best. When crafting your study, develop the scope to determine the specific topics and aspects worth exploring.

In academic publishing , reviewers and editors need a clear understanding of the scope of the study in a manuscript when evaluating the research. Despite its importance, however, the scope doesn't necessarily have its own explicit section in a research paper.

That said, you can describe the study's scope in key areas of your research writing. Here are some of the important sections in a typical research paper for academic writing where a description of the scope is key.

Literature review

Any study disseminated for academic publishing requires a thorough understanding of the current research and existing theories that are relevant to your study. In turn, the literature review also defines the aspects of the phenomenon or concepts that you can study for the purpose of theoretical development.

Rely on the key theories in the literature review to define a useful scope that identifies key aspects of the theoretical framework that will inform the data collection and analysis .

Problem statement

A well-crafted problem statement generally sets the stage for what knowledge is missing and what novel and interesting insights can be uncovered in new research. As a result, a clear understanding of the research scope helps define the problem that a new research project seeks to address.

When incorporating a problem statement in your research paper, be sure to explicitly detail the rationale for problematizing the phenomenon you are researching.

Research question

Research questions define the relationships between the relevant concepts or phenomena being explored, and thus provide evidence of a scope that has been thoughtfully planned. Use the wording of your research question to highlight what is the central focus and, thus, the scope of the study.

At minimum, the scope of the study should narrow the focus of data collection and data analysis to the study of certain concepts relevant to addressing the given research question. Qualitative research methods can often result in open-ended data collection that can yield many insights, only a few of which may directly address the research inquiry.

Narrowing the collection of data to a set of relevant criteria can help the researcher avoid any unnecessary rabbit holes that might complicate the later analysis with irrelevant information.

Limitations

Research scope and limitations go hand in hand because, together, they define what is studied within a research project and what is not. Moreover, a good description of the study's scope can also provide direction, by way of the description of limitations, about what inquiries other researchers could pursue next.

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6 facts about presidential and vice presidential debates

President Joe Biden and former President Donald Trump – the presumptive major-party nominees for the 2024 presidential election – will meet in the first of two planned debates on June 27 .

That’s by far the earliest date any such debate has been staged – so early, in fact, that neither man will have been officially nominated yet. Since the first televised debates in 1960 between John F. Kennedy and Richard Nixon , all such events have been held in September or October.

The early date isn’t the only thing setting this year’s debates apart. The June debate is being organized by CNN and the Sept. 10 follow-up by ABC, bypassing the Commission on Presidential Debates . The commission had sponsored all presidential and vice presidential debates since 1988, sharing the broadcast with all channels that wanted to air it. (The commission has proposed a vice presidential debate for Sept. 25, but it’s not yet clear that the Biden and Trump campaigns will agree to participate .)

Presidential debates have long been criticized on both substantive and stylistic grounds , but they remain a major part of the campaign season. Here are six things to know before the first debate.

To lay some groundwork for the 2024 presidential debates, we looked back at the history of presidential and vice presidential debates.

Data on voters’ perceptions of the debates’ helpfulness and their decision-making process was drawn from previous Pew Research Center surveys. Refer to the links in the text for more methodological detail.

Viewership was based primarily on figures from Nielsen Media Research, supplemented by estimates from the Commission on Presidential Debates and, in one case, The New York Times. Other sources included the commission’s records on prior debates and contemporaneous media reports from various publications. Links to these sources can be found in the text of this analysis.

The debates draw a lot of viewers. Although viewership of the debates as a share of the total TV audience has broadly fallen over the decades, they can still attract more people than just about any other televised event besides the Super Bowl.

More than 73 million people watched at least some of the first Trump-Biden debate in 2020, according to Nielsen Media Research. (Nielsen defines audience as viewers ages 2 and older.) That’s the third-largest debate audience ever, trailing only the first debate between Hillary Clinton and Trump in 2016 (84 million viewers) and the 1980 debate between President Jimmy Carter and Ronald Reagan (80.6 million).

Older people were most likely to watch the first Trump-Biden debate, according to Nielsen. The debate drew a 42.7 rating among viewers ages 55 and older, versus 25.5 among 35- to 54-year-olds and 12.0 among 18- to 34-year-olds. (Nielsen ratings measure the percentage of television-owning households watching a particular program, but the company also collects data on individual viewers.)

This ratings data can be interpreted in various ways. On one hand, it seems to align with research that shows that older people are more likely to follow presidential election news . However, the Nielsen numbers only included people who watched the debates on traditional TV channels or via devices connected to TV sets (at home or outside the home) – not those who streamed the debates or watched them online. And according to a 2021 Pew Research Center study , only 34% of U.S. adults under 30 get TV through cable or satellite.

Ratings for the presidential debates have risen and fallen over the decades, according to Nielsen data. The four 1960 debates all had ratings of around 60.0, meaning roughly six-in-ten households with TV sets were tuned to the debates. When the debates were revived in 1976, their ratings were lower – generally around 50.0.

Ratings for the debates trended lower over the next two decades. The third debate between Al Gore and George W. Bush in 2000 had just a 25.9 rating. Since then, debate ratings have generally trended modestly upward: The first Biden-Trump debate in 2020 drew a 40.2 rating.

Voters find the debates useful, but not necessarily determinative. Pew Research Center conducted post-election surveys from 1988 through 2016. In most cases, six-in-ten or more voters said the debates were very or somewhat helpful in deciding which candidate to vote for.

The high point was 1992, when 70% of voters said the three debates that year between Bill Clinton, George H.W. Bush and Ross Perot were at least somewhat helpful. (The Center did not ask this question following the 2020 election.)

In 2016, for example, only 10% of voters said they had definitively made up their minds “during or just after” the presidential debates. By comparison, 11% said they’d decided later, in the days or weeks before or on Election Day. More (22%) said they had decided during or just after the summertime party conventions, and 42% said they had before the conventions.

The vice presidential debates are the undercard. In most years since 1976, when the candidates for vice president first had their own debate , the running mates have been runners-up when it comes to viewership.

In 2020, for example, 57.9 million people watched the debate between Vice President Mike Pence and then-Sen. Kamala Harris. That was 8% below the viewership of the lowest-rated Biden-Trump debate, though well above the 37.2 million who tuned in to the 2016 debate between Pence and Sen. Tim Kaine, the Democratic vice presidential hopeful.

The lone exception to this rule came in 2008, when more people (69.9 million) tuned in to the vice presidential debate between then-Sen. Biden and then-Alaska Gov. Sarah Palin than any of the three presidential debates between then-Sens. Barack Obama and John McCain.

Today’s televised debates don’t much resemble the first ones. From the first debates in 1960 between Kennedy and Nixon through the 1988 matchups between George H.W. Bush and Michael Dukakis , the candidates answered questions from panels of journalists. The moderator’s job was mostly to explain and enforce the ground rules and keep the proceedings moving.

But by the 1980s, the panel format was in trouble. Critics said it resembled a joint press conference more than an actual debate and that the journalist-panelists took too much time and attention away from the candidates. The campaigns bickered constantly over who could or could not be a moderator or panelist.

Finally, the League of Women Voters , which had organized the 1976, 1980 and 1984 debates, threw in the towel, leaving the job to the newly created Commission on Presidential Debates.

In 1992, the commission tried a variety of approaches: Along with two panel-style debates, it introduced a “town hall” event in which undecided voters asked the questions. That year’s vice presidential debate had a single moderator pose questions to the candidates.

Based on public feedback afterward , the commission decided to use only the single-moderator and town hall formats going forward. (The lone exception was a 2016 debate that was co-moderated by Anderson Cooper of CNN and Martha Raddatz of ABC News.)

Most of the moderators have been broadcast journalists. All but two of the debate moderators since 1960 have been prominent broadcast journalists. (The exceptions were James Hoge, editor-in-chief of the Chicago Sun-Times , who moderated the 1976 vice presidential debate, and USA Today Washington bureau chief Susan Page, who moderated the 2020 vice presidential debate.)

PBS journalists have moderated the most debates: 16, including 12 by the late Jim Lehrer . The only other person to have moderated more than two presidential or vice presidential debates is Bob Schieffer of CBS News (2004, 2008 and 2012).

Note: This is an update of a post originally published on Aug. 28, 2020.

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Drew DeSilver is a senior writer at Pew Research Center .

Biden, Trump are least-liked pair of major party presidential candidates in at least 3 decades

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5 reasons why marketing research is important to your business

Marketing research is a critical tool that businesses and organisations use to gather valuable information about their target market and industry. By conducting research, companies can gain insights into customer needs, preferences, and behaviour, as well as market trends and the competitive landscape. In this article, we'll explore five reasons why marketing research is important for businesses and organisations.

5 reasons why marketing research is important

Is your company on the fence about investing in marketing research? If so, read on for five reasons why marketing research is important to the viability and longevity of your business.

1. Marketing research helps businesses understand their customers.

Knowing your customers is the first step in running a successful business. And while this may sound simple enough, it can be difficult to look inside the consumer psyche—one whose needs, preferences, and behaviours are ever-evolving.

Fortunately, marketing research can give you a peek behind the curtain, helping you understand what motivates current as well as potential customers. A marketing research survey , for example, can provide insight into pricing sensitivity among a segment of your target population. The data yielded may suggest that boomers are more likely to purchase a product based on price alone while millennials are more motivated by the values of the respective company. Based on this information, you can tailor your offerings to better meet these needs.

Let’s take a closer look at what else marketing research can tell you about your target audience.

a. Marketing research reveals demographic data.

Through conducting surveys, you can better understand characteristics of your buyers, like age, gender, race, and ethnicity. You can also collect socioeconomic information like education, income, and employment status. These variables can help you engage in audience segmentation, which essentially involves tweaking your brand messaging to appeal to various subgroups.

b. Marketing research illustrates purchasing behaviour.

Marketing research tools like surveys, transaction tracking, and social media tracking can also shed light on when, why, how, and what consumers are buying. A better understanding of purchasing behaviour can help your company develop brand messaging that strikes a chord with its target audience. If consumers tend to shop between the hours of 5 and 8 p.m., for instance, your company may send an email coupon at 4:45 p.m. to prime that behaviour.

c. Marketing research helps companies appeal to potential customers.

It’s important to learn as much as possible about your current customers. However, it’s equally important to learn about people who are at the beginning of the customer journey. A deeper understanding of what motivates these individuals can help your business turn clicks into conversions.

2. Marketing research helps businesses manage risk.

Risk is an intrinsic part of the business world. However, by understanding market trends and customer behaviour, businesses can anticipate changes in demand and adjust their strategies accordingly. Market research can also help businesses identify potential obstacles or challenges and develop contingency plans to mitigate those risks.

For example, let’s say a company hopes to introduce a new product to the market. Before investing significant time and financial resources into product development, market researchers may conduct a series of surveys to determine if consumers are even interested in the respective product. This mitigates the risk of introducing a good for which there is no demand.

Other examples in which marketing research can be used as a tool for mitigating risk include:

• Conducting ad testing to determine if brand messaging resonates with consumers
• Hosting product development focus groups to receive feedback before revealing a new product to the larger market
• Organising customer satisfaction surveys at various points of the customer journey to determine any issues affecting sales
• Administering price testing to determine the ideal price for a new product

3. Marketing research helps businesses stay competitive.

Marketing research gives companies a competitive edge in many ways, one being a greater awareness of the industry itself. By understanding what other businesses are doing, your company can develop strategies to differentiate itself and stay ahead of the curve. For example, if research indicates that laundry detergent manufacturers are increasing prices, a company can either decide to a) keep up with the times and increase costs, b) keep costs the same, or c) decrease pricing to appeal to a specific target market.

Marketing research also helps companies determine areas where they may be falling behind. If several healthcare conglomerates are expanding telehealth services, it would be wise for a hospital to also make moves to provide digital appointments. Otherwise, patients may take their business elsewhere.

How else can marketing research help your business stay competitive?

a. Marketing research aids in trendspotting.

It’s important for companies to keep up with industry patterns. However, it’s also important for companies to predict patterns before they even happen. The fashion industry provides a good example of this. Trend forecasters analyse decades—centuries even—of socio-cultural data in an attempt to be the first company to put out a ‘hot’ new product that appeals to modern sensibilities.

b. Marketing research allows businesses to identify gaps in the industry.

Similarly, marketing research can help companies realise a demand that has yet to be satisfied. Through marketing research surveys, for instance, an organic snack food company may see that consumers are craving more savoury gluten-free snack options. Using this data, the company can one-up competitors by introducing a new product.

4. Marketing research gives businesses the tools to measure success.

Net profit is an important indicator of a company’s success. However, if profits are plummeting, it can be difficult to know if this is because of your company’s performance or industry-wide factors like increased materials costs and decreased demand. Because of this, businesses must rely on a more holistic approach to evaluating success.

Fortunately, marketing research can be a helpful tool if you want to measure business health using more than dollar signs. Here’s how marketing research can help you gauge company success.

a. Marketing research provides insight into customer satisfaction.

Sure, your company could be making money. But if your customers aren’t satisfied, your financial gains are likely to be short-lived. To determine if customers are happy with your products or services, you can conduct a customer feedback survey questionnaire.

Alternatively, you may choose to conduct a longitudinal panel survey . Unlike an ad hoc survey, which takes a snapshot of consumer opinions and behaviours, longitudinal studies (like monthly or quarterly trackers) monitor how consumer attitudes change over time. This tool is especially helpful if you want to see how customer satisfaction changes after the introduction of new protocols or training methods.

b. Marketing research helps businesses assess employee satisfaction.

A financially profitable company isn’t necessarily successful if its employees aren’t satisfied. To assess this metric of success, you can conduct surveys, in-person interviews, or focus groups. The results from these marketing research assessments may also shed light on the efficiency of your staff.

c. Marketing research provides insight into the performance of competitors.

It can be constructive to compare your company’s performance to that of competitors. This can help you understand if dips or rises in profit are unique to your company or simply an industry trend.

5. Marketing research helps businesses make informed decisions.

For decades, companies have made key business decisions based on gut feelings alone. But the new age of marketing revolves around data-driven decision-making: a process in which business decisions are informed by metrics and analytics. This contemporary model helps companies make solid choices that reduce risk while improving performance.

Since marketing research lends itself to data generation, it’s an integral part of this equation. For example, data yielded from a brand awareness survey may illustrate that men aged 50 to 65 in a specific geographic area are the least familiar with the brand. Using this information, the company can invest marketing dollars in a way that will yield true results.

Other examples of using marketing research to support data-driven decision-making include:

• During a focus group, a company discovers that 60% of women are dissatisfied with the playback speed options of an audiobook app. In response, software developers dedicate time and financial resources to adjusting that feature.
• Survey data reveals that as the price of microwaves increases, so does customers’ perceived value of the product. With this in mind, a company chooses to increase prices by 30%.
• A popular food chain conducts a series of phone interviews to assess customer service at various locations. Afterward, the company mandates that employees at the restaurants with the lowest reviews take customer service training courses.

All this to say, marketing research has many different applications. By gathering data about customer preferences, market trends, and industry dynamics, businesses can make decisions based on facts rather than assumptions or intuition. This can help businesses avoid costly mistakes and increase their chances of success.

Conduct high-quality marketing research with Kantar

Marketing research is a critical tool that businesses and organisations can use to gather valuable information about their target market and industry. By conducting research, businesses can gain insights into customer needs and behaviour, stay competitive, make informed decisions, manage risk, and measure success.

And during VUCA times (volatile, uncertain, complex and ambiguous), keeping a consistent pulse on consumer sentiment and behaviour is essential to driving the right decisions for business growth.

However, in today's rapidly changing business landscape, marketing research can feel complicated and overwhelming. That’s where Kantar comes in. As an industry leader, we provide tips and tools to help you navigate each step of the marketing research process, from survey design to data visualisation.

Want to get started? Speak to our award-winning team  to learn how we can help you conduct marketing research.

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10 Reasons Why Marketing Research Is Important to a Business

It’s easy to dismiss the importance of marketing research. But new businesses need sales and customers as soon as possible, and market research can ensure that those sales and customers don’t stop coming.

When you get caught by the creative spark, it’s easy to underestimate the importance of market research. But there’s a real need for market research before you bring a product to your customers.

Today, I’ll take you through some basic marketing research concepts. I’ll also explain why marketing research is important and share some resources to help you get started on your own marketing research.

If you want to stay up to date, you should also read the in-depth guide to the latest marketing trends on the Envato Blog.

What Is Marketing Research?

Before you can understand the importance of marketing research, you need to know what it is. Market research isn’t about a specific method or activity—it’s just what businesses call their attempt to learn more about their target customers.

While tasks like surveys and focus groups can help, they aren’t absolutely necessary, and they aren’t the only things you can do to research your target market. Here are some tasks that can be part of your market research:

• Have short conversations with contacts who are part of your target market . Let’s say you’re looking to launch a wedding photography service. Talk to your contacts who have been married or who are engaged and ask them about their experience in hiring and working with a wedding photographer. Even a five-minute conversation can give you insights on how to run your business.
• Look up Facebook groups relevant to your target market . This can provide a free, low-effort way to reach target customers online and ask them questions. Eventually, you can go back to these groups to promote your business, if the group rules allow for it.
• Add a survey form to your website . If you already have a website for your small business, you can offer potential customers a small discount in exchange for completing a survey. This tutorial on online market research forms can help you get started.

The above activities are just a handful of tasks that could be part of your market research. In fact, you can classify any task as a market research activity as long as you end up knowing your target market’s needs, behaviors, and preferences.

The Importance of Marketing Research

These are the ten reasons why market research is important, especially for smaller teams and businesses:

1. Better Understand Customer Needs

While every business has many stakeholders, the customer is always at the center of what you do. Conducting market research helps keep your customer as your business’s focus.

Here is where you can avoid the disconnect that businesses of all sizes can have with their customers. Learning their perspective from first-hand accounts has its benefits, including understanding what their needs and wants are. Taking this information into consideration will help guide your strategy better.

2. Uncover Emerging Trends

Understanding customer needs also means uncovering industry trends. When interpreting your findings, it’s not uncommon to identify where businesses like yours will be headed in the future.

Staying ahead of the curve has its benefits. It allows you to better serve your customers in the future. Your business will be able to better position itself as an industry leader. There’s also increased trust in a business that can cater to its customers’ current and future needs.

3. Identify Potential Issues

While it’s great to keep an eye on the future in market research, it’s also important to pick up on any pain points your customers have. Pain points are the issues that stand in the way of your customers having a smooth experience when interacting with your business.

The more pain points you can identify, the better. After all, you can’t solve a problem you don’t know you have. This is why marketing research is so important: you’ll be able to work on solutions that have been bothering your customers with the data to support your efforts.

4. Easily Spot Business Opportunities

After you’ve done your market research, it’ll be clear who you want to reach out to (your target customers), where you can reach them (your marketing channels), and what they’re interested in. Once you’ve defined these, you’ll be able to easily spot business opportunities. For example:

• Form partnerships with other businesses . Learning about who your customers are, such as their demographics, can help you find other small businesses that serve them. You can approach these businesses for joint promotions that’ll be mutually beneficial.
• Create profitable order upgrades . Knowing the other products and services that your customers tend to buy can help you come up with add-ons, product bundles, and upsells that increase the average value of each order.
• Find new locations to sell to . Knowing the geographical areas where most of your target customers live will allow you to create compelling targeted campaigns that suit the needs and culture of that area.

5. Lower Business Risks

Around half of businesses with employees don’t survive past the fifth year, according to data from the Bureau of Labor Statistics . The way to make sure that your business survives for longer is to ensure that you’ve got a steady stream of sales and customers. To do that, you need market research.

Regular market research will be your way to check in with your current customers and potential customers to ensure that you’re still meeting their needs. Here’s how you can apply this:

• Test new designs and products before launching . Before you go all-in on a dramatic change for your business, you can test it on a smaller subset of your audience to see if the change would be welcome. For example, if you plan to do a redesign of a popular product, show the new design to your most frequent buyers. Test or ask them if they’re more likely to buy the new design versus an alternative new design or the old design.
• Find out why customers don’t come back . Ideally, your small business should have recurring customers. If they don’t come back, you can conduct a survey of previous customers or set up a focus group to find out why you’re not making any repeat sales.
• Get insights on problem areas . If your most popular product sees a big drop in sales for three consecutive months, you need to find out how to fix it before it ruins your profits completely. Survey your most frequent customers about the product and find out where the problem lies. It could be anything from a decline in the product quality to a glitch on your online store. You’ll never know unless you ask.

6. Create Relevant Promotional Materials

If you’ve ever wondered what text or images to put on your fliers, website, or social media accounts thorough market research will tell you exactly what to do. Since target customers have already expressed all their wants, needs, and frustrations with you, you’ll know exactly what to address and how to address it when you start creating your marketing materials.

For example, author Tiffany Sun surveyed her readers to find out which problems they were trying to solve. Instead of coming up with blog topics or headlines in a vacuum, she used the results of this survey to brainstorm compelling topics.

Here are some other ways your marketing materials will be easier to create:

• Knowing whether customers see your products and services as a necessity or as a luxury can help you design your product labels, brochures, and a website that fits their perception.
• Identifying the age range of your customers can tell you the type of language you’ll be using in your promotional materials. You’ll write differently when addressing retired Baby Boomers than you would when addressing young professionals.

7. Know Where to Advertise

One of the problems that small business owners face is a limited budget. Because of this, your marketing budget should be optimized to give you the best returns possible. Your market research can help ensure that you’re reaching your intended audience in the channels where they’re most likely to see your message.

These are some of the budgetary tasks that your market research can help with:

• Buying ads on social media . If your market research shows that your target audience spends most of their time on Instagram and almost never uses X, you’ll know to direct most of your social media ad budget to Instagram and forget about X.
• Placing flyers and posters . Knowing the physical spaces where your customer spends their time will tell you where you can best place your advertising. For example, university students are likely to be on campus, so placing ads for that market means that you can try bulletin boards on campus or outside local establishments that their crowd tends to frequent.
• Targeting ads . Online ads such as social media ads and pay-per-click ads can often be targeted with precision. This means that you can target based not just on the usual demographic data, but also based on online behaviors, life stage, and interests. If you truly know your customers, you’ll be able to maximize the potential for targeting. For example: here are some of the targeting options for Facebook Ads :

8. Outsell Competitors

Businesses that know their customers better tend to win more. If you can beat your competitors at finding out your customers’ needs and you aim to fulfill those needs, you’ve got a better chance of standing out from the competition. Here are some ways you can use market research to outsell competitors:

• Target dissatisfied customers . Asking target customers about their frustrations with your competitors’ products or reading their product reviews can help you improve your own products and market them to an audience that’s ready to switch brands.
• Find an underserved customer segment . Your market research might reveal that there’s a segment of the market that your competition has neglected. This will give you a new customer segment to reach out to.
• Identify unaddressed customer needs . During your market research, you might uncover some customer pain points or desires that you don’t see addressed in your competitors’ marketing materials. Try including them in your own marketing and see if the results show an increase in sales.

If you need to know more about conducting market research with competitors in mind, check out this guide on how to write a competitive analysis . You can also learn more about finding out who’s buying from your competitors .

9. Set Better Goals for Your Business

When business owners set goals for their business, they’re typically related to growth in sales or customers. But without market research, you won’t be able to know if your goals are achievable and how to achieve them in the first place.

You might say that you want to double sales by the end of the next quarter. How would you know if this goal is feasible if you don’t know whether the size of your target market is more than twice the size of your current customer base? Without knowing the current size of your potential market, you’ll just be setting arbitrary goals.

With market research, you’ll be able to determine the specific ways you want to expand your customer base. For example, do you want to reach new customers via a new untapped market segment? Or do you still have room for growth among your current target audience?

If you need help setting growth goals for your business, check out this guide on small business growth strategies . You can also learn how to set effective goals for your freelance business .

10. Decision-Making Becomes Simple

The importance of marketing research frequently comes up when making tough business decisions. Instead of having arbitrary criteria for the decisions you make as a business owner, you can always go back to your market research report. Based on that report, will this decision lead to more customers? Will you be able to reach more people who are likely to buy from you? Will it be clear to them that your business can meet their needs?

While not all decisions should be solved by market research, many of them can be, such as:

• where to spend your advertising or marketing budget
• whether there’s a demand for a new product you want to make
• if you should open a storefront in a new location
• which products to discontinue and which ones to merely improve
• how to price all your offers

There’s a real need for market research because it provides you with solid facts. Through market research, you’ll make more informed decisions rather than resting the fate of your business on guesswork.

Discover the Importance of Market Research for Your Business

Now that you understand the importance of market research, you’re ready to get started. Your business doesn’t have to spend tens of thousands of dollars on focus groups and extensive surveys to conduct market research. But it’s important that you do market research in the first place, and present your research findings with your team.

As long as you end up with a thorough list of your target market’s demographics, needs, and frustrations, you’ll be able to reap the above benefits as you grow your business. Why not get started with your marketing research today?

Present Confidently as a Research Marketer With Envato Elements

Being able to present your research and other marketing activities is crucial for any business. Instead of spending hours designing and editing, use the premium assets from Envato Elements. With a low monthly fee, you can download unlimited premium assets that you can use for your work or personal projects.

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A Guide To The Top 14 Types Of Reports With Examples Of When To Use Them

What Is The Report Definition?

What are the different types of reports, what does a report look like, what you should look for in a reporting tool, types of reporting for every business & purpose.

Businesses have been producing reports forever. No matter what role or industry you work in, chances are that you have been faced with the task of generating a tedious report to show your progress or performance.

While reporting has been a common practice for many decades, the business world keeps evolving, and with more competitive industries, the need to generate fast and accurate reports becomes critical. This presents a problem for many modern organizations today, as building reports can take from hours to days. In fact, a survey about management reports performed by Deloitte says that 50% of managers are unsatisfied with the speed of delivery and the quality of the reports they receive.

With this issue in mind, several BI tools, such as RIB BI+ , have been developed to assist businesses in generating interactive reports with just a few clicks, enhancing the way companies make critical decisions and service insights from their most valuable data.

But, with so many types of reports used daily, how can you know when to use them effectively? How can you push yourself ahead of the pack with the power of information? Here, we will explore the 14 most common types of reports in business and provide some examples of when to use them to your brand-boosting advantage. In addition, we will see how online dashboards have overthrown the static nature of classic reports and given way to a much faster, more interactive way of working with data.

Let’s get started with a brief report definition.

A report is a document that presents relevant business information in an organized and understandable format. Each report is aimed at a specific audience and business purpose, and it summarizes the development of different activities based on goals and objectives.

That said, there are various types of reports that can be used for different purposes. Whether you want to track the progress of your strategies or stay compliant with financial laws, there is a different report for each task. To help you identify when to use them, we will cover the top 14 most common report formats used for businesses today.

1. Informational Reports

The first in our list of reporting types is informational reports. As their name suggests, this report type aims to give factual insights about a specific topic. This can include performance reports, expense reports, and justification reports, among others. A differentiating characteristic of these reports is their objectivity; they are only meant to inform but not propose solutions or hypotheses. Common informational reports examples are for performance tracking, such as annual, monthly, or weekly reports.

2. Analytical Reports

This report type contains a mix of useful information to facilitate the decision-making process through a mix of qualitative and quantitative insights as well as real-time and historical insights. Unlike informational reports that purely inform users about a topic, this report type also aims to provide recommendations about the next steps and help with problem-solving. With this information in hand, businesses can build strategies based on analytical evidence and not simple intuition. With the use of the right BI reporting tool, businesses can generate various types of analytical reports that include accurate forecasts via predictive analytics technologies. Let’s look at it with an analytical report example.

The example above is the perfect representation of how analytical reports can boost a business’s performance. By getting detailed information such as sales opportunities, a probability rate, as well as an accurate pipeline value forecast based on historical data, sales teams can prepare their strategies in advance, tackle any inefficiencies, and make informed decisions for increased efficiency.

3. Operational Reports

These reports track every pertinent detail of the company’s operational tasks, such as its production processes. They are typically short-term reports as they aim to paint a picture of the present. Businesses use this type of report to spot any issues and define their solutions or to identify improvement opportunities to optimize their operational efficiency. Operational reports are commonly used in manufacturing, logistics, and retail as they help keep track of inventory, production, and costs, among others.

4. Industry Reports

Next in our list of the most common kinds of reports, we have industry-specific reports. As its name suggests, these types of reports are used in specific industries and provide valuable information about KPIs and goals that are unique to that industry. For instance, construction reports are invaluable tools to track project progress and extract valuable conclusions to optimize processes.

The example below is a report for a construction company that has multiple active projects. The template offers a complete overview of performance with KPIs related to contract value, budget, and profit margins, among other things. That said, the most valuable part of this report is the detailed overview of finishing projects and projects in execution, where we see that industry-specific KPIs like the SPI and CPI are tracked for each project with color to understand the status at a glance. Templates like this one play a fundamental role in efficient project management in construction as they offer the necessary overview to make smart decisions with fresh data. 

5. Product Reports

As its name suggests, this report type is used to monitor several aspects related to product development. Businesses often use them to track which of their products or subscriptions are selling the most within a given time period, calculate inventories, or see what kind of product the client values the most. Another common use case of these reports is to research the implementation of new products or develop existing ones. Let’s see it in more detail with a visual example.

The image above is a product report that shows valuable insights regarding usage intention, purchase intention, willingness to pay, and more. In this case, the report is based on the answers from a survey that aimed to understand how the target customer would receive a new product. Getting this level of insight through this report type is very useful for businesses as it allows them to make smart investments in new products and set realistic pricing based on their clients’ willingness to pay.

6. Department Reports

These reports are specific to each department or business function. They serve as a communication tool between managers and team members who must stay connected and work together for common goals. Whether it is the sales department, customer service, logistics, or finances, this specific report type helps track and optimize strategies on a deeper level. Let’s look at it with an example of a team performance report.

The image above is a department report created with an online data analysis tool, and it tracks the performance of a support team. This insightful report displays relevant metrics such as the top-performing agents, net promoter score, and first contact resolution rate, among others. Having this information in hand not only helps each team member to keep track of their individual progress but also allows managers to understand who needs more training and who is performing at their best.

7. Progress Reports

From the branch of informational reports, progress reports provide critical information about a project’s status. Employees or managers can produce these reports daily, weekly, or monthly to track performance and fine-tune tasks for the project’s better development. Progress reports are often used as visual materials to support meetings and discussions. A good example is a KPI scorecard.

8. Internal Reports

A type of report that encompasses many others on this list, internal reports refer to any type of report that is used internally in a business. They convey information between team members and departments to keep communication flowing regarding goals and business objectives.

As mentioned above, internal reports are useful communication tools to keep every relevant person in the organization informed and engaged. This healthcare report aims to do just that. By providing insights into the performance of different departments and areas of a hospital, such as in and outpatients, average waiting times, treatment costs, and more, healthcare managers can allocate resources and plan the schedule accurately, as well as monitor any changes or issues in real-time.

9. External Reports

Although most of the report types listed here are used for internal purposes, not all reporting is meant to be used behind closed doors. External reports are created to share information with external stakeholders such as clients or investors for budget or progress accountability, as well as for governmental bodies to stay compliant with the law requirements.

The image above is the perfect example of an external client report from an IT project. This insightful report provides a visual overview of every relevant aspect of the project’s development. From deadlines, budget usage, completion stage, and task breakdown, clients can be fully informed and involved in the project.

10. Vertical & Lateral Reports

Next, in our rundown of types of reports, we have vertical and lateral reports. This reporting type refers to the direction in which a report travels. A vertical report is meant to go upward or downward the hierarchy, for example, a management report. A lateral report assists in organization and communication between groups that are at the same level of the hierarchy, such as the financial and marketing departments.

11. Research Reports

Without a doubt, one of the most vital reporting types for any modern business is centered on research. Being able to collect, collate, and drill down into insights based on key pockets of your customer base or industry will give you the tools to drive innovation while meeting your audience’s needs head-on.

The image above is a market research analytics report example for customer demographics. It serves up a balanced blend of metrics that will empower you to boost engagement as well as retention rates. Here, you can drill down into your audience’s behaviors, interests, gender, educational levels, and tech adoption life cycles with a simple glance.

What’s particularly striking about this dashboard is the fact that you can explore key trends in brand innovation with ease, gaining a working insight into how your audience perceives your business. This invaluable type of report will help you get under the skin of your consumers, driving growth and loyalty in the process.

12. Strategic Reports

Strategy is a vital component of every business, big or small. Strategic analytics tools are perhaps the broadest and most universal of all the different types of business reports imaginable.

These particular tools exist to help you consistently understand, meet, and exceed your most pressing organizational goals by providing top-level metrics on various initiatives or functions.

By working with strategic-style tools, you will:

• Improve internal motivation and engagement
• Refine your plans and strategies for the best possible return on investment (ROI)
• Enhance internal communication and optimize the way your various departments run
• Create more room for innovation and creative thinking

13. Project Reports

Projects are key to keeping a business moving in the right direction while keeping innovation and evolution at the forefront of every plan, communication, or campaign. But without the right management tools, a potentially groundbreaking project can become a resource-sapping disaster.

A project management report serves as a summary of a particular project’s status and its various components. It’s a visual tool that you can share with partners, colleagues, clients, and stakeholders to showcase your project’s progress at multiple stages. Let’s look at our example and dig a little deeper.

Our example above is a construction project management dashboard that offers a 360-degree view of a project’s development. This invaluable construction collaboration tool can help keep every relevant project stakeholder involved and informed about the latest developments to ensure maximum efficiency and transparency.

Work and budget development and cost breakdown charts can help develop efficient construction cost control strategies to ensure the project remains profitable and on schedule. On the other hand, progress metrics like the SPI and the CPI can help assess construction productivity issues that can lead to delays and costly overruns.

14. Statutory Reports

It may not seem exciting or glamorous, but keeping your business’s statutory affairs in order is vital to your ongoing commercial health and success.

When it comes to submitting vital financial and non-financial information to official bodies, one small error can result in serious repercussions. As such, working with statutory report formats is a watertight way of keeping track of your affairs and records while significantly reducing the risk of human error.

Armed with interactive insights and dynamic visuals, you will keep your records clean and compliant while gaining the ability to nip any potential errors or issues in the bud.

Now that we’ve covered the most relevant types of reports, we will answer the question: what does a report look like?

As mentioned at the beginning of this insightful guide, static reporting is a thing of the past. With the rise of modern technologies like self-service BI tools, the use of interactive reports in the shape of business dashboards has become more and more popular among companies.

Unlike static reports that take time to be generated and are difficult to understand, modern reporting tools are intuitive. Their visual nature makes them easy to understand for any type of user, and they provide businesses with a central view of their most important performance indicators for an improved decision-making process. Here, we will cover 20 useful dashboard examples from different industries, functions, and platforms to put the value of dashboard reporting into perspective.

1. Financial Report

Keeping finances in check is critical for success. This financial report offers an overview of the most important financial metrics that a business needs to monitor its economic activities and answer vital questions to ensure healthy finances.

With insights about liquidity, invoicing, budgeting, and general financial stability, managers can extract long and short-term conclusions to reduce inefficiencies, make accurate forecasts about future performance, and keep the overall financial efficiency of the business flowing. For instance, getting a detailed calculation of the business’s working capital can allow you to understand how liquid your company is. If it’s higher than expected, it means you have the potential to invest and grow—definitely one of the most valuable types of finance reports.

2. Construction Report

Our next example is a construction report offering the perfect overview for efficient construction bid management . In this case, the template is tracked for an enterprise that has multiple projects working simultaneously and needs a general view of how everything is performing to ensure maximum efficiency.

The key metric highlighted in this report is the net bid value, which shows the value of all submitted bids, including canceled ones. As seen in the net bid value by status chart, only a small amount is accounted for canceled bids, which means this organization’s construction bidding process is efficient. The rest of the charts displayed in the template help provide a deeper understanding of bids to make informed decisions.

Another valuable aspect of this construction report is its interactivity. The filters on top allow the user to visualize only data for a specific category, project classification, or bid status, making it possible to answer any questions that arise during meetings or discussions. This was not possible in the past as the construction industry relied heavily on static reporting. Luckily, with the rise of digital construction tools, like interactive real-time reporting, they no longer need to rely solely on intuition or outdated information. Instead, they have fresh insights at all times.

3. Marketing Report

Our following example is a marketing report that ensures a healthy return on investment from your marketing efforts. This type of report offers a detailed overview of campaign performance over the last 12 weeks. Having access to this information enables you to maximize the value of your promotional actions, keeping your audience engaged by providing a targeted experience.

For instance, you can implement different campaign formats as a test and then compare which one is most successful for your business. This is possible thanks to the monitoring of important marketing metrics such as the click-through rate (CTR), cost per click (CPC), cost per acquisition (CPA), and more.

The visual nature of this report makes it easy to understand important insights at a glance. For instance, the four gauge charts at the top show the total spending from all campaigns and how much of the total budget of each campaign has been used. In just seconds, you can see if you are on target to meet your marketing budgets for every single campaign.

4. Sales Report

An intuitive sales dashboard like the one above is the perfect analytical tool to monitor and optimize sales performance. Armed with powerful high-level metrics, this report type is especially interesting for managers, executives, and sales VPs as it provides relevant data to ensure strategic and operational success.

The value of this sales report lies in the fact that it offers a complete and comprehensive overview of relevant insights needed to make smart sales decisions. For instance, at the top of an analysis tool, you get important metrics such as the number of sales, revenue, profit, and costs, all compared to a set target and to the previous time period. The use of historical data is fundamental when building successful sales strategies as they provide a picture of what could happen in the future. Being able to filter the key metrics all in one screen is a key benefit of modern reporting.

5. HR Report

Our next report example concerns human resources analytics. The HR department needs to track various KPIs for employee performance and effectiveness. However, it must also ensure that employees are happy and working in a healthy environment since an unhappy workforce can significantly damage an organization. This intuitive dashboard makes this possible.

Providing a comprehensive mix of metrics, this employee-centric report drills down into every major element needed to ensure successful workforce management. For example, the top portion of the dashboard covers absenteeism in 3 different ways: yearly average, absenteeism rate with a target of 3.8%, and absenteeism over the last five years. Tracking absenteeism rates in detail is helpful as it can tell you if your employees are skipping workdays. If the rate is over the expected target, then you have to dig deeper into the reasons and find sustainable solutions.

On the other hand, the second part of the dashboard covers the overall labor effectiveness (OLE). This can be tracked based on specific criteria that HR predefined, and it helps them understand if workers are achieving their targets or if they need extra training or help.

6. Management Report

Managers must monitor big amounts of data to ensure that the business is running smoothly. One of them being investor relationships. This management dashboard focuses on high-level metrics that shareholders need to look at before investing, such as the return on assets, return on equity, debt-equity ratio, and share price, among others.

By getting an overview of these important metrics, investors can easily extract the needed insights to make an informed decision regarding an investment in your business. For instance, the return on assets measures how efficiently are the company’s assets being used to generate profit. With this knowledge, investors can understand how effectively your company deploys available resources compared to others in the market. Another great indicator is the share price; the higher the increase in your share price, the more money your shareholders are making from their investment.

7. IT Report

Just like all the other departments and sections covered in this list, the IT department is one that can especially benefit from these types of reports. With so many technical issues to solve, the need for a visual tool to help IT specialists stay on track with their workload becomes critical.

As seen in the image above, this IT dashboard offers detailed information about different system indicators. For starters, we get a visual overview of the status of each server, followed by a detailed graph displaying the uptime & downtime of each week. This is complemented by the most common downtown issues and some ticket management information. Getting this level of insight helps your IT staff to know what is happening and when it is happening and find proper solutions to prevent these issues from repeating themselves. Keeping constant track of these metrics will ensure robust system performance.

8. Procurement Report

The following report example was built with intuitive procurement analytics software. It gives a general view of various metrics that any procurement department needs to manage suppliers efficiently.

With the possibility to filter, drill down, and interact with KPIs, this intuitive procurement dashboard offers key information to ensure a healthy supplier relationship. With metrics such as compliance rate, the number of suppliers, or the purchase order cycle time, the procurement team can classify the different suppliers, define the relationship each of them has with the company and optimize processes to ensure it stays profitable.

One of the industries that could truly benefit from this template is construction. Managing procurement in construction projects is not easy, as suppliers must be picked carefully to ensure they meet the project’s needs. An overview like this one can help assess the abilities of each supplier to choose the ones that best meet the requirements. In construction, supplier selection is more than just about pricing, it also involves availability, certifications, quality, etc.

9. Customer Service Report

Following our list of examples of reports is one from the support area. Armed with powerful customer service KPIs, this dashboard is a useful tool for monitoring performance, spotting trends, identifying strengths and weaknesses, and improving the overall effectiveness of the customer support department.

Covering aspects such as revenue and costs from customer support as well as customer satisfaction, this complete analysis tool is the perfect tool for managers who have to keep an eye on every little detail from a performance and operational perspective. For example, by monitoring your customer service costs and comparing them to the revenue, you can understand if you are investing the right amount into your support processes. This can be directly related to your agent’s average time to solve issues; the longer it takes to solve a support ticket, the more money it will cost and the less revenue it will bring. If your agents take too long to solve an issue, you can think of some training instances to help them reduce this number.

10. Market Research Report

This list of report types would not be complete without a market research report. Market research agencies deal with a large amount of information coming from surveys and other research sources. Considering that, reports that can be filtered for deeper interaction become more necessary for this industry than for any other.

The image above is a brand analytics dashboard that displays the survey results about how the public perceives a brand. This savvy tool contains different charts that make it easy to understand the information visually. For instance, the map chart with the different colors lets you quickly understand in which regions each age range is located. The charts can be filtered further to see the detailed answers from each group for a deeper analysis.

11. Social Media Report

Last but not least, we have a social media report. This scorecard-format dashboard monitors the performance of four main social media channels: Facebook, Twitter, Instagram, and YouTube. It serves as a perfect visual overview to track the performance of different social media efforts and achievements.

Tracking relevant metrics such as followers, impressions, clicks, engagement rates, and conversions, this report type serves as a perfect progress report for managers or clients who need to see the status of their social channels. Each metric is shown in its actual value and compared to a set target. The colors green and red from the fourth column let you quickly understand if a metric is over or under its expected target.

12. Logistics Report

Logistics are the cornerstone of an operationally fluent and progressive business. If you deal with large quantities of goods and tangible items, in particular, maintaining a solid logistical strategy is vital to ensuring you maintain your brand reputation while keeping things flowing in the right direction.

A prime example designed to improve logistical management, our warehouse KPI dashboard is equipped with metrics required to maintain strategic movement while eliminating any unnecessary costs or redundant processes. Here, you can dig into your shipping success rates across regions while accessing warehouse costs and perfect order rates in real-time. If you spot any potential inefficiencies, you can track them here and take the correct course of action to refine your strategy. This is an essential tool for any business with a busy or scaling warehouse.

13. Manufacturing Report

Next, in our essential types of business reports examples, we’re looking at tools made to improve your business’s various manufacturing processes.

Our clean and concise production tool is a sight to behold and serves up key manufacturing KPIs that improve the decision-making process regarding costs, volume, and machinery.

Here, you can hone in on historical patterns and trends while connecting with priceless real-time insights that will not only enable you to make the right calls concerning your manufacturing process at the moment but will also allow you to formulate predictive strategies that will ultimately save money, boost productivity, and result in top-quality products across the board.

14. Retail Report

As a retailer with so many channels to consider and so many important choices to make, working with the right metrics and visuals is absolutely essential. Fortunately, we live in an age where there are different types of reporting designed for this very reason.

Our sales and order example, generated with retail analytics software, is a dream come true for retailers as it offers the visual insights needed to understand your product range in greater detail while keeping a firm grip on your order volumes, perfect order rates, and reasons for returns.

Gaining access to these invaluable insights in one visually presentable space will allow you to track increases or decreases in orders over a set timeframe (and understand whether you’re doing the right things to drive engagement) while plowing your promotional resources into the products that are likely to offer the best returns.

Plus, by gaining an accurate overview of why people are returning your products, you can omit problem items or processes from your retail strategy, improving your brand reputation as well as revenue in the process.

15. Digital Media Report

The content and communications you publish are critical to your ongoing success, regardless of your sector, niche, or specialty. Without putting out communications that speak directly to the right segments of your audience at the right times in their journey, your brand will swiftly fade into the background.

To ensure your brand remains inspiring, engaging, and thought-leading across channels, working with media types of a business report is essential. You must ensure your communications cut through the noise and scream ‘quality’ from start to finish—no ifs, no buts, no exceptions.

Our content quality control tool is designed with a logical hierarchy that will tell you if your content sparks readership, if the language you’re using is inclusive and conversational, and how much engagement-specific communications earn. You can also check your most engaging articles with a quick glance to understand what your users value most. Armed with this information, you can keep creating content that your audience loves and ultimately drives true value to the business.

16. Energy Report

In the age of sustainability and in the face of international fuel hikes, managing the energy your business uses effectively is paramount. Here, there is little room for excess or error, and as such, working with the right metrics is the only way to ensure successful energy regulation.

If your company has a big HQ or multiple sites that require power, our energy management analytics tool will help you take the stress out of managing your resources. One of the most striking features of this dashboard is the fact that it empowers you to compare your company’s energy usage against those from other sectors and set an accurate benchmark.

Here, you can also get a digestible breakdown of your various production costs regarding energy consumption and the main sources you use to keep your organization running. Regularly consulting these metrics will not only allow you to save colossal chunks of your budget, but it will also give you the intelligence to become more sustainable as an organization. This, in turn, is good for the planet and your brand reputation—a real win-win-win.

17. FMCG Report

The fast-moving consuming goods (FMCG) industry can highly benefit from a powerful report containing real-time insights. This is because the products handled in this sector, which are often food and beverages, don’t last very long. Therefore, having a live overview of all the latest developments can aid decision-makers in optimizing the supply chain to ensure everything runs smoothly and no major issues happen.

Our report format example above aims to do just that by providing an overview of critical performance indicators, such as the percentage of products sold within freshness date, the out-of-stock rate, on-time in full deliveries, inventory turnover, and more. What makes this template so valuable is the fact that it provides a range of periods to get a more recent view of events but also a longer yearly view to extract deeper insights.

The FMCG dashboard also offers an overview of the main KPIs to aid users in understanding if they are on the right track to meet their goals. There, we can observe that the OTIF is far from its target of 90%. Therefore, it should be looked at in more detail to optimize it and prevent it from affecting the entire supply chain.

18. Google Analytics Report

Regardless of your industry, if you have a website, you probably require a Google Analytics report. This powerful tool helps you understand how your audience interacts with your website while helping you reach more people through the Google search engine. The issue is that the reports the tool provides are more or less basic and don’t give you the dynamic and agile view you need to stay on top of your data and competitors.

For that reason, we generated a range of Google Analytics dashboards that take your experience one step further by allowing you to explore your most important KPIs in real-time. That way, you’ll be able to spot any potential issues or opportunities to improve as soon as they occur, allowing you to act on them on the spot.

Among some of the most valuable metrics you can find in this sample are the sessions and their daily, weekly, and monthly development, the average session duration, the bounce rate by channel and by top 5 countries, among others.

19. LinkedIn Report

Another very important platform that companies use, no matter their size or industry, is LinkedIn. This platform is the place where companies develop and showcase their corporate image, network with other companies, and tell their clients and audience about the different initiatives they are developing to grow and be better. Some organizations also use LinkedIn to showcase their charity or sustainability initiatives.

The truth is LinkedIn has become an increasingly relevant platform, and just like we discussed with YouTube, organizations need to analyze data to ensure their strategies are on the right path to success.

The template above offers a 360-degree view of a company page’s performance. With metrics such as the followers gained, engagement rate, impressions vs unique impressions, CTR, and more. Decision-makers can dive deeper into the performance of their content and understand what their audience enjoys the most. For instance, by looking at the CTR of the last 5 company updates, you can start to get a sense of what topics and content format your audience on the platforms interact with the most. That way, you’ll avoid wasting time and resources producing content without interaction.

20. Healthcare Report

Moving on from platform-related examples, we have one last monthly report template from a very relevant sector, the healthcare industry. For decades now, hospitals and healthcare professionals have benefited from data to develop new treatments and analyze unknown diseases. But data can also help to ensure daily patient care is of top quality.

Our sample above is a healthcare dashboard report that tracks patient satisfaction stats for a clinic named Saint Martins Clinic. The template provides insights into various aspects of patient care that can affect their satisfaction levels to help spot any weak areas.

Just by looking at the report in a bit more detail, we can already see that the average waiting time for arrival at a bed and time to see a doctor are on the higher side. This is something that needs to be looked into immediately, as waiting times are the most important success factors for patients. Additionally, we can see those lab test turnarounds are also above target. This is another aspect that should be optimized to prevent satisfaction levels from going down.

As you learned from our extensive list of examples, different reports are widely used across industries and sectors. Now, you might wonder, how do I get my hands on one of these reports? The answer is a professional online reporting tool. With the right software in hand, you can generate stunning reports to extract the maximum potential out of your data and boost business growth in the process.

But, with so many options in the market, how do make sure you choose the best tool for your needs? Below we cover some of the most relevant features and capabilities you should look for to make the most out of the process.

1. Pre-made reporting templates

To ensure successful operations, a business will most likely need to use many reports for its internal and external strategies. Manually generating these reports can become a time-consuming task that burdens the business. That is why professional reporting software should offer pre-made reporting templates. At RIB, we offer an extensive template library for the construction industry that allows users to generate reports in a matter of seconds—allowing them to use their time on actually analyzing the information and extracting powerful insights from it.

2. Multiple visualization options

If you look for report templates on Google, you might run into multiple posts about written ones. This is not a surprise, as written reports have been the norm for decades. That being said, a modern approach to reporting has developed in the past years where visuals have taken over text. The value of visuals lies in the fact that they make the information easier to understand, especially for users who have no technical knowledge. But most importantly, they make the information easier to explore by telling a compelling story. For that reason, the tool you choose to invest in should provide you with multiple visualization options to have the flexibility to tell your data story in the most successful way possible.

3. Customization

While pre-made templates are fundamental to generating agile reports, being able to customize them to meet your needs is also of utmost importance. At RIB Software, we offer our users the possibility to customize their construction reports to fit their most important KPIs, as well as their logo, business colors, and font. This is an especially valuable feature for external reports that must be shown to clients or other relevant stakeholders, giving your reports a more professional look. Customization can also help from an internal perspective to provide employees who are uncomfortable with data with a familiar environment to work in.

4. Real-time insights

In the fast-paced world we live in today, having static reports is not enough. Businesses need to have real-time access to the latest developments in their data to spot any issues or opportunities as soon as they occur and act on them to ensure their resources are spent smartly and their strategies are running as expected. Doing so will allow for agile and efficient decision-making, giving the company a huge competitive advantage.

5. Sharing capabilities

Communication and collaboration are the basis of a successful reporting process. Today, team members and departments need to be connected to ensure everyone is on the right path to achieve general company goals. That is why the tool you invest in should offer flexible sharing capabilities to ensure every user can access the reports. For instance, we offer our users the possibility to share reports through automated emails or password-protected URLs with viewing or editing rights depending on what data the specific user can see and manipulate. A great way to keep everyone connected and boost collaboration.

As we’ve seen throughout our journey, businesses use different report formats for diverse purposes in their everyday activities. Whether you’re talking about types of reports in research, types of reports in management, or anything in between, these dynamic tools will get you where you need to be (and beyond).

In this post, we covered the top 14 most common ones and explored key examples of how different report types are changing the way businesses are leveraging their most critical insights for internal efficiency and, ultimately, external success.

With modern tools and solutions, reporting doesn’t have to be a tedious task. Anyone in your organization can rely on data for their decision-making process without needing technical skills. Rather, you want to keep your team connected or show progress to investors or clients. There is a report type for the job. To keep your mind fresh, here are the top 14 types of data reports covered in this post:

• Informational reports
• Analytical reports
• Operational reports
• Product reports
• Industry reports
• Department reports
• Progress reports
• Internal reports
• External reports
• Vertical and lateral reports
• Strategic reports
• Research reports
• Project reports
• Statutory reports

At RIB Software , we provide multiple solutions to make construction companies’ lives easier. Our construction data analytics software, RIB BI+, offers powerful business intelligence and reporting capabilities to help businesses in the building sector manage their data and make data-driven decisions to boost the quality of their projects. If you are ready to benefit from automated, interactive analytics, get a demo of RIB BI+ today!

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