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12 Interpretive research

Chapter 11 introduced interpretive research—or more specifically, interpretive case research. This chapter will explore other kinds of interpretive research. Recall that positivist or deductive methods—such as laboratory experiments and survey research—are those that are specifically intended for theory (or hypotheses) testing. Interpretive or inductive methods—such as action research and ethnography—one the other hand, are intended for theory building. Unlike a positivist method, where the researcher tests existing theoretical postulates using empirical data, in interpretive methods, the researcher tries to derive a theory about the phenomenon of interest from the existing observed data.

The term ‘interpretive research’ is often used loosely and synonymously with ‘qualitative research’, although the two concepts are quite different. Interpretive research is a research paradigm (see Chapter 3) that is based on the assumption that social reality is not singular or objective. Rather, it is shaped by human experiences and social contexts (ontology), and is therefore best studied within its sociohistoric context by reconciling the subjective interpretations of its various participants (epistemology). Because interpretive researchers view social reality as being embedded within—and therefore impossible to abstract from—their social settings, they ‘interpret’ the reality though a ‘sense-making’ process rather than a hypothesis testing process. This is in contrast to the positivist or functionalist paradigm that assumes that the reality is relatively independent of the context, can be abstracted from their contexts, and studied in a decomposable functional manner using objective techniques such as standardised measures. Whether a researcher should pursue interpretive or positivist research depends on paradigmatic considerations about the nature of the phenomenon under consideration and the best way to study it.

However, qualitative versus quantitative research refers to empirical or data-oriented considerations about the type of data to collect and how to analyse it. Qualitative research relies mostly on non-numeric data, such as interviews and observations, in contrast to quantitative research which employs numeric data such as scores and metrics. Hence, qualitative research is not amenable to statistical procedures such as regression analysis, but is coded using techniques like content analysis. Sometimes, coded qualitative data is tabulated quantitatively as frequencies of codes, but this data is not statistically analysed. Many puritan interpretive researchers reject this coding approach as a futile effort to seek consensus or objectivity in a social phenomenon which is essentially subjective.

Although interpretive research tends to rely heavily on qualitative data, quantitative data may add more precision and clearer understanding of the phenomenon of interest than qualitative data. For example, Eisenhardt (1989), [1] in her interpretive study of decision-making in high-velocity firms (discussed in the previous chapter on case research), collected numeric data on how long it took each firm to make certain strategic decisions—which ranged from approximately six weeks to 18 months—how many decision alternatives were considered for each decision, and surveyed her respondents to capture their perceptions of organisational conflict. Such numeric data helped her clearly distinguish the high-speed decision-making firms from the low-speed decision-makers without relying on respondents’ subjective perceptions, which then allowed her to examine the number of decision alternatives considered by and the extent of conflict in high-speed versus low-speed firms. Interpretive research should attempt to collect both qualitative and quantitative data pertaining to the phenomenon of interest, and so should positivist research as well. Joint use of qualitative and quantitative data—often called ‘mixed-mode design’—may lead to unique insights, and is therefore highly prized in the scientific community.

Interpretive research came into existence in the early nineteenth century—long before positivist techniques were developed—and has its roots in anthropology, sociology, psychology, linguistics, and semiotics. Many positivist researchers view interpretive research as erroneous and biased, given the subjective nature of the qualitative data collection and interpretation process employed in such research. However, since the 1970s, many positivist techniques’ failure to generate interesting insights or new knowledge has resulted in a resurgence of interest in interpretive research—albeit with exacting methods and stringent criteria to ensure the reliability and validity of interpretive inferences.

Distinctions from positivist research

In addition to the fundamental paradigmatic differences in ontological and epistemological assumptions discussed above, interpretive and positivist research differ in several other ways. First, interpretive research employs a theoretical sampling strategy, where study sites, respondents, or cases are selected based on theoretical considerations such as whether they fit the phenomenon being studied (e.g., sustainable practices can only be studied in organisations that have implemented sustainable practices), whether they possess certain characteristics that make them uniquely suited for the study (e.g., a study of the drivers of firm innovations should include some firms that are high innovators and some that are low innovators, in order to draw contrast between these firms), and so forth. In contrast, positivist research employs random sampling —or a variation of this technique—in which cases are chosen randomly from a population for the purpose of generalisability. Hence, convenience samples and small samples are considered acceptable in interpretive research—as long as they fit the nature and purpose of the study—but not in positivist research.

Second, the role of the researcher receives critical attention in interpretive research. In some methods such as ethnography, action research, and participant observation, the researcher is considered part of the social phenomenon, and their specific role and involvement in the research process must be made clear during data analysis. In other methods, such as case research, the researcher must take a ’neutral’ or unbiased stance during the data collection and analysis processes, and ensure that their personal biases or preconceptions do not taint the nature of subjective inferences derived from interpretive research. In positivist research, however, the researcher is considered to be external to and independent of the research context, and is not presumed to bias the data collection and analytic procedures.

Third, interpretive analysis is holistic and contextual, rather than being reductionist and isolationist. Interpretive interpretations tend to focus on language, signs, and meanings from the perspective of the participants involved in the social phenomenon, in contrast to statistical techniques that are employed heavily in positivist research. Rigor in interpretive research is viewed in terms of systematic and transparent approaches to data collection and analysis, rather than statistical benchmarks for construct validity or significance testing.

Lastly, data collection and analysis can proceed simultaneously and iteratively in interpretive research. For instance, the researcher may conduct an interview and code it before proceeding to the next interview. Simultaneous analysis helps the researcher correct potential flaws in the interview protocol or adjust it to capture the phenomenon of interest better. The researcher may even change their original research question if they realise that their original research questions are unlikely to generate new or useful insights. This is a valuable—but often understated—benefit of interpretive research, and is not available in positivist research, where the research project cannot be modified or changed once the data collection has started without redoing the entire project from the start.

Benefits and challenges of interpretive research

Interpretive research has several unique advantages. First, it is well-suited for exploring hidden reasons behind complex, interrelated, or multifaceted social processes—such as inter-firm relationships or inter-office politics—where quantitative evidence may be biased, inaccurate, or otherwise difficult to obtain. Second, it is often helpful for theory construction in areas with no or insufficient a priori theory. Third, it is also appropriate for studying context-specific, unique, or idiosyncratic events or processes. Fourth, interpretive research can also help uncover interesting and relevant research questions and issues for follow-up research.

At the same time, interpretive research also has its own set of challenges. First, this type of research tends to be more time and resource intensive than positivist research in data collection and analytic efforts. Too little data can lead to false or premature assumptions, while too much data may not be effectively processed by the researcher. Second, interpretive research requires well-trained researchers who are capable of seeing and interpreting complex social phenomenon from the perspectives of the embedded participants, and reconciling the diverse perspectives of these participants, without injecting their personal biases or preconceptions into their inferences. Third, all participants or data sources may not be equally credible, unbiased, or knowledgeable about the phenomenon of interest, or may have undisclosed political agendas which may lead to misleading or false impressions. Inadequate trust between the researcher and participants may hinder full and honest self-representation by participants, and such trust building takes time. It is the job of the interpretive researcher to ‘see through the smoke’ (i.e., hidden or biased agendas) and understand the true nature of the problem. Fourth, given the heavily contextualised nature of inferences drawn from interpretive research, such inferences do not lend themselves well to replicability or generalisability. Finally, interpretive research may sometimes fail to answer the research questions of interest or predict future behaviours.

Characteristics of interpretive research

All interpretive research must adhere to a common set of principles, as described below.

Naturalistic inquiry: Social phenomena must be studied within their natural setting.

Because interpretive research assumes that social phenomena are situated within—and cannot be isolated from—their social context, interpretations of such phenomena must be grounded within their sociohistorical context. This implies that contextual variables should be observed and considered in seeking explanations of a phenomenon of interest, even though context sensitivity may limit the generalisability of inferences.

Researcher as instrument: Researchers are often embedded within the social context that they are studying, and are considered part of the data collection instrument in that they must use their observational skills, their trust with the participants, and their ability to extract the correct information. Further, their personal insights, knowledge, and experiences of the social context are critical to accurately interpreting the phenomenon of interest. At the same time, researchers must be fully aware of their personal biases and preconceptions, and not let such biases interfere with their ability to present a fair and accurate portrayal of the phenomenon.

Interpretive analysis: Observations must be interpreted through the eyes of the participants embedded in the social context. Interpretation must occur at two levels. The first level involves viewing or experiencing the phenomenon from the subjective perspectives of the social participants. The second level is to understand the meaning of the participants’ experiences in order to provide a ‘thick description’ or a rich narrative story of the phenomenon of interest that can communicate why participants acted the way they did.

Use of expressive language: Documenting the verbal and non-verbal language of participants and the analysis of such language are integral components of interpretive analysis. The study must ensure that the story is viewed through the eyes of a person, and not a machine, and must depict the emotions and experiences of that person, so that readers can understand and relate to that person. Use of imageries, metaphors, sarcasm, and other figures of speech are very common in interpretive analysis.

Temporal nature: Interpretive research is often not concerned with searching for specific answers, but with understanding or ‘making sense of’ a dynamic social process as it unfolds over time. Hence, such research requires the researcher to immerse themself in the study site for an extended period of time in order to capture the entire evolution of the phenomenon of interest.

Hermeneutic circle: Interpretive interpretation is an iterative process of moving back and forth from pieces of observations (text), to the entirety of the social phenomenon (context), to reconcile their apparent discord, and to construct a theory that is consistent with the diverse subjective viewpoints and experiences of the embedded participants. Such iterations between the understanding/meaning of a phenomenon and observations must continue until ‘theoretical saturation’ is reached, whereby any additional iteration does not yield any more insight into the phenomenon of interest.

Interpretive data collection

Data is collected in interpretive research using a variety of techniques. The most frequently used technique is interviews (face-to-face, telephone, or focus groups). Interview types and strategies are discussed in detail in Chapter 9. A second technique is observation . Observational techniques include direct observation , where the researcher is a neutral and passive external observer, and is not involved in the phenomenon of interest (as in case research), and participant observation , where the researcher is an active participant in the phenomenon, and their input or mere presence influence the phenomenon being studied (as in action research). A third technique is documentation , where external and internal documents—such as memos, emails, annual reports, financial statements, newspaper articles, or websites—may be used to cast further insight into the phenomenon of interest or to corroborate other forms of evidence.

Interpretive research designs

Case research . As discussed in the previous chapter, case research is an intensive longitudinal study of a phenomenon at one or more research sites for the purpose of deriving detailed, contextualised inferences, and understanding the dynamic process underlying a phenomenon of interest. Case research is a unique research design in that it can be used in an interpretive manner to build theories, or in a positivist manner to test theories. The previous chapter on case research discusses both techniques in depth and provides illustrative exemplars. Furthermore, the case researcher is a neutral observer (direct observation) in the social setting, rather than an active participant (participant observation). As with any other interpretive approach, drawing meaningful inferences from case research depends heavily on the observational skills and integrative abilities of the researcher.

Action research . Action research is a qualitative but positivist research design aimed at theory testing rather than theory building. This is an interactive design that assumes that complex social phenomena are best understood by introducing changes, interventions, or ‘actions’ into those phenomena, and observing the outcomes of such actions on the phenomena of interest. In this method, the researcher is usually a consultant or an organisational member embedded into a social context —such as an organisation—who initiates an action in response to a social problem, and examines how their action influences the phenomenon, while also learning and generating insights about the relationship between the action and the phenomenon. Examples of actions may include organisational change programs—such as the introduction of new organisational processes, procedures, people, or technology or the replacement of old ones—initiated with the goal of improving an organisation’s performance or profitability. The researcher’s choice of actions must be based on theory, which should explain why and how such actions may bring forth the desired social change. The theory is validated by the extent to which the chosen action is successful in remedying the targeted problem. Simultaneous problem-solving and insight generation are the central feature that distinguishes action research from other research methods (which may not involve problem solving), and from consulting (which may not involve insight generation). Hence, action research is an excellent method for bridging research and practice.

There are several variations of the action research method. The most popular of these methods is participatory action research , designed by Susman and Evered (1978). [2] This method follows an action research cycle consisting of five phases: diagnosing, action-planning, action-taking, evaluating, and learning (see Figure 12.1). Diagnosing involves identifying and defining a problem in its social context. Action-planning involves identifying and evaluating alternative solutions to the problem, and deciding on a future course of action based on theoretical rationale. Action-taking is the implementation of the planned course of action. The evaluation stage examines the extent to which the initiated action is successful in resolving the original problem—i.e., whether theorised effects are indeed realised in practice. In the learning phase, the experiences and feedback from action evaluation are used to generate insights about the problem and suggest future modifications or improvements to the action. Based on action evaluation and learning, the action may be modified or adjusted to address the problem better, and the action research cycle is repeated with the modified action sequence. It is suggested that the entire action research cycle be traversed at least twice so that learning from the first cycle can be implemented in the second cycle. The primary mode of data collection is participant observation, although other techniques such as interviews and documentary evidence may be used to corroborate the researcher’s observations.

Action research cycle

Ethnography . The ethnographic research method—derived largely from the field of anthropology—emphasises studying a phenomenon within the context of its culture. The researcher must be deeply immersed in the social culture over an extended period of time—usually eight months to two years—and should engage, observe, and record the daily life of the studied culture and its social participants within their natural setting. The primary mode of data collection is participant observation, and data analysis involves a ‘sense-making’ approach. In addition, the researcher must take extensive field notes, and narrate her experience in descriptive detail so that readers may experience the same culture as the researcher. In this method, the researcher has two roles: rely on her unique knowledge and engagement to generate insights (theory), and convince the scientific community of the transsituational nature of the studied phenomenon.

The classic example of ethnographic research is Jane Goodall’s study of primate behaviours. While living with chimpanzees in their natural habitat at Gombe National Park in Tanzania, she observed their behaviours, interacted with them, and shared their lives. During that process, she learnt and chronicled how chimpanzees seek food and shelter, how they socialise with each other, their communication patterns, their mating behaviours, and so forth. A more contemporary example of ethnographic research is Myra Bluebond-Langer’s (1996) [3] study of decision-making in families with children suffering from life-threatening illnesses, and the physical, psychological, environmental, ethical, legal, and cultural issues that influence such decision-making. The researcher followed the experiences of approximately 80 children with incurable illnesses and their families for a period of over two years. Data collection involved participant observation and formal/informal conversations with children, their parents and relatives, and healthcare providers to document their lived experience.

Phenomenology. Phenomenology is a research method that emphasises the study of conscious experiences as a way of understanding the reality around us. It is based on the ideas of early twentieth century German philosopher, Edmund Husserl, who believed that human experience is the source of all knowledge. Phenomenology is concerned with the systematic reflection and analysis of phenomena associated with conscious experiences such as human judgment, perceptions, and actions. Its goal is (appreciating and describing social reality from the diverse subjective perspectives of the participants involved, and understanding the symbolic meanings (‘deep structure’) underlying these subjective experiences. Phenomenological inquiry requires that researchers eliminate any prior assumptions and personal biases, empathise with the participant’s situation, and tune into existential dimensions of that situation so that they can fully understand the deep structures that drive the conscious thinking, feeling, and behaviour of the studied participants.

The existential phenomenological research method

Some researchers view phenomenology as a philosophy rather than as a research method. In response to this criticism, Giorgi and Giorgi (2003) [4] developed an existential phenomenological research method to guide studies in this area. This method, illustrated in Figure 12.2, can be grouped into data collection and data analysis phases. In the data collection phase, participants embedded in a social phenomenon are interviewed to capture their subjective experiences and perspectives regarding the phenomenon under investigation. Examples of questions that may be asked include ‘Can you describe a typical day?’ or ‘Can you describe that particular incident in more detail?’. These interviews are recorded and transcribed for further analysis. During data analysis , the researcher reads the transcripts to: get a sense of the whole, and establish ‘units of significance’ that can faithfully represent participants’ subjective experiences. Examples of such units of significance are concepts such as ‘felt-space’ and ‘felt-time’, which are then used to document participants’ psychological experiences. For instance, did participants feel safe, free, trapped, or joyous when experiencing a phenomenon (‘felt-space’)? Did they feel that their experience was pressured, slow, or discontinuous (‘felt-time’)? Phenomenological analysis should take into account the participants’ temporal landscape (i.e., their sense of past, present, and future), and the researcher must transpose his/herself in an imaginary sense into the participant’s situation (i.e., temporarily live the participant’s life). The participants’ lived experience is described in the form of a narrative or using emergent themes. The analysis then delves into these themes to identify multiple layers of meaning while retaining the fragility and ambiguity of subjects’ lived experiences.

Rigor in interpretive research

While positivist research employs a ‘reductionist’ approach by simplifying social reality into parsimonious theories and laws, interpretive research attempts to interpret social reality through the subjective viewpoints of the embedded participants within the context where the reality is situated. These interpretations are heavily contextualised, and are naturally less generalisable to other contexts. However, because interpretive analysis is subjective and sensitive to the experiences and insight of the embedded researcher, it is often considered less rigorous by many positivist (functionalist) researchers. Because interpretive research is based on a different set of ontological and epistemological assumptions about social phenomena than positivist research, the positivist notions of rigor—such as reliability, internal validity, and generalisability—do not apply in a similar manner. However, Lincoln and Guba (1985) [5] provide an alternative set of criteria that can be used to judge the rigor of interpretive research.

Dependability. Interpretive research can be viewed as dependable or authentic if two researchers assessing the same phenomenon, using the same set of evidence, independently arrive at the same conclusions, or the same researcher, observing the same or a similar phenomenon at different times arrives at similar conclusions. This concept is similar to that of reliability in positivist research, with agreement between two independent researchers being similar to the notion of inter-rater reliability, and agreement between two observations of the same phenomenon by the same researcher akin to test-retest reliability. To ensure dependability, interpretive researchers must provide adequate details about their phenomenon of interest and the social context in which it is embedded, so as to allow readers to independently authenticate their interpretive inferences.

Credibility. Interpretive research can be considered credible if readers find its inferences to be believable. This concept is akin to that of internal validity in functionalistic research. The credibility of interpretive research can be improved by providing evidence of the researcher’s extended engagement in the field, by demonstrating data triangulation across subjects or data collection techniques, and by maintaining meticulous data management and analytic procedures—such as verbatim transcription of interviews, accurate records of contacts and interviews—and clear notes on theoretical and methodological decisions, that can allow an independent audit of data collection and analysis if needed.

Confirmability. Confirmability refers to the extent to which the findings reported in interpretive research can be independently confirmed by others—typically, participants. This is similar to the notion of objectivity in functionalistic research. Since interpretive research rejects the notion of an objective reality, confirmability is demonstrated in terms of ‘intersubjectivity’—i.e., if the study’s participants agree with the inferences derived by the researcher. For instance, if a study’s participants generally agree with the inferences drawn by a researcher about a phenomenon of interest—based on a review of the research paper or report—then the findings can be viewed as confirmable.

Transferability. Transferability in interpretive research refers to the extent to which the findings can be generalised to other settings. This idea is similar to that of external validity in functionalistic research. The researcher must provide rich, detailed descriptions of the research context (‘thick description’) and thoroughly describe the structures, assumptions, and processes revealed from the data so that readers can independently assess whether and to what extent the reported findings are transferable to other settings.

  • Eisenhardt, K. M. (1989). Making fast strategic decisions in high-velocity environments. Academy of Management Journal , 32(3), 543–576. ↵
  • Susman, G. I. and Evered, R. D. (1978) An assessment of the scientific merits of action research. Administrative Science Quarterly , 23, 582–603. ↵
  • Bluebond-Langer, M. (1996). In the shadow of illness: Parents and siblings of the chronically ill child . Princeton, NJ: Princeton University Press. ↵
  • Giorgi, A., & Giorgi, B. (2003). Phenomenology. In J. A. Smith (ed.), Qualitative psychology: A practical guide to research methods (pp. 25–50). London: Sage Publications ↵
  • Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry . Beverly Hills: Sage Publications. ↵

Social Science Research: Principles, Methods and Practices (Revised edition) Copyright © 2019 by Anol Bhattacherjee is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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11 Descriptive and interpretive approaches to qualitative research

  • Published: June 2005
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This chapter explores descriptive and interpretive approaches to qualitative research. This includes the formulation of the problem, data collection, the specifics of sampling, data analysis in descriptive/interpretive qualitative research, generation of categories, and extracting and interpreting the main findings.

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Quali Q

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Interpretive Description (and how it differs from Qualitative Description) with Ashley Hyde, RN, PhD

Hello Qualitative Mind,

I’m honoured to welcome my friend and colleague, Ashley Hyde, RN PhD, to the blog today to speak to us about her experience using interpretive description in her research and the ways in which interpretive description differs from qualitative description (a common question). If you need a refresher on qualitative description and what it is before diving into Ashley’s post below, we wrote a blog post on this topic back in April of 2020 - you can read it here .

Let’s welcome Ashley to the Quali Q community today!

Two people sitting on chairs next to each other. One has a notebook open and a pen in hand. You cannot see their faces.

Like many graduate students or novice researchers, I (Ashley) started the research process with an idea of what I wanted to explore. My research topic (understanding the experience of choice) was grounded in my experiences as a clinician and a desire to improve care for patients and their caregivers-so off I went to find my method.

I wanted to understand how family caregivers caring for their older relatives experienced choice when accessing supportive living services (which sounds like a mouthful, I know!).

Clearly, given my focus on experiences and the concept of choice, my study was amenable to exploration through a number of different approaches. However, it was my clinical grounding and desire to find solutions to what I perceived as a clinical problem that led me to Interpretive Description.

Interpretive description was first described in detail by Dr. Sally Thorne (& team) in 1997 and was borne out of a desire to describe qualitative inquiry that was being conducted that was not necessarily congruent with more traditional approaches but was still useful, particularly in clinical disciplines like nursing. If you’ve looked into using interpretive description and are thinking parts of it sound familiar, you’re not wrong! Elements of methodological borrowing can be seen in the ways interpretive description encourages constant comparative analysis (grounded theory); appreciates multiple ways of data collection, including participation observation (ethnography); and acknowledges multiple realities contributing to the subjective human experience (phenomenology). 

So, where does the uniqueness of interpretive description lie? How is this method distinct from qualitative description? These were questions that I continued to grapple with as I approached my doctoral defence. To me, the uniqueness or defining feature rests in its emphasis on the generation of clinically relevant knowledge. Further, within the analysis process, the researcher must go beyond reporting the findings,  to interpret what their findings mean in relation to each other, and the study context. In essence, Thorne encourages users of interpretive description to, “ lead their eventual reader toward a kind of knowing that was not possible prior to your study ” (Thorne, 2016, p. 181). 

“ Thorne encourages users of interpretive description to, “lead their eventual reader toward a kind of knowing that was not possible prior to your study” (Thorne, 2016, p.181). ”

Yes, I would agree that on the surface, interpretive description appears to be a relatively generic approach to qualitative inquiry that, perhaps, is not far from its cousin, qualitative description. It is not overtly critical in nature, nor does it readily address issues of power and inequality. It doesn’t aim to generate theory, nor does it particularly encourage exploration of theory prior to starting your research. However, what it does offer is flexibility to explore clinically relevant topics, free from a predetermined theoretical mandate or worldview, and ensure the construction of data that is ultimately relevant to clinical practice and patient care. 

What do you think; do you agree with Ashley’s comment on the ways that interpretive description differs from qualitative description? We’d love to hear your thoughts! Leave us a comment or send us an email to [email protected] and let us know your thoughts on today’s post.

References:

Thorne, S. E. (2016).  Interpretive description : qualitative research for applied practice  (Second edition.). Routledge.

  • First Online: 27 October 2022

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interpretive descriptive case study

  • R. M. Channaveer 4 &
  • Rajendra Baikady 5  

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This chapter reviews the strengths and limitations of case study as a research method in social sciences. It provides an account of an evidence base to justify why a case study is best suitable for some research questions and why not for some other research questions. Case study designing around the research context, defining the structure and modality, conducting the study, collecting the data through triangulation mode, analysing the data, and interpreting the data and theory building at the end give a holistic view of it. In addition, the chapter also focuses on the types of case study and when and where to use case study as a research method in social science research.

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Department of Social Work, Central University of Karnataka, Kadaganchi, India

R. M. Channaveer

Department of Social Work, University of Johannesburg, Johannesburg, South Africa

Rajendra Baikady

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Channaveer, R.M., Baikady, R. (2022). Case Study. In: Islam, M.R., Khan, N.A., Baikady, R. (eds) Principles of Social Research Methodology. Springer, Singapore. https://doi.org/10.1007/978-981-19-5441-2_21

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Differentiating between descriptive and interpretive phenomenological research approaches

Affiliations.

  • 1 Sultan Qaboos University College of Nursing, Muscat, Oman.
  • 2 University of South Africa, Pretoria, South Africa.
  • PMID: 26168810
  • DOI: 10.7748/nr.22.6.22.e1344

Aim: To provide insight into how descriptive and interpretive phenomenological research approaches can guide nurse researchers during the generation and application of knowledge.

Background: Phenomenology is a discipline that investigates people's experiences to reveal what lies 'hidden' in them. It has become a major philosophy and research method in the humanities, human sciences and arts. Phenomenology has transitioned from descriptive phenomenology, which emphasises the 'pure' description of people's experiences, to the 'interpretation' of such experiences, as in hermeneutic phenomenology. However, nurse researchers are still challenged by the epistemological and methodological tenets of these two methods.

Data sources: The data came from relevant online databases and research books.

Review methods: A review of selected peer-reviewed research and discussion papers published between January 1990 and December 2013 was conducted using CINAHL, Science Direct, PubMed and Google Scholar databases. In addition, selected textbooks that addressed phenomenology as a philosophy and as a research methodology were used.

Discussion: Evidence from the literature indicates that most studies following the 'descriptive approach' to research are used to illuminate poorly understood aspects of experiences. In contrast, the 'interpretive/hermeneutic approach' is used to examine contextual features of an experience in relation to other influences such as culture, gender, employment or wellbeing of people or groups experiencing the phenomenon. This allows investigators to arrive at a deeper understanding of the experience, so that caregivers can derive requisite knowledge needed to address such clients' needs.

Conclusion: Novice nurse researchers should endeavour to understand phenomenology both as a philosophy and research method. This is vitally important because in-depth understanding of phenomenology ensures that the most appropriate method is chosen to implement a study and to generate knowledge for nursing practice.

Implications for research/practice: This paper adds to the current debate on why it is important for nurse researchers to clearly understand phenomenology as a philosophy and research method before embarking on a study. The paper guides novice researchers on key methodological decisions they need to make when using descriptive or interpretive phenomenological research approaches.

Keywords: Nursing research; descriptive phenomenology; interpretive phenomenology; novice researchers; qualitative research; research methodology.

Publication types

  • Comparative Study
  • Data Collection / methods*
  • Nursing Methodology Research
  • Nursing Research / methods*
  • Peer Review, Research
  • Qualitative Research
  • Research Design*

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COMMENTS

  1. Case Study Methodology of Qualitative Research: Key Attributes and

    Though it is basically a descriptive case study, the primary focus of the authors was the transition from an agricultural to an industrial economy, which occurred in most mid-sized American cities in the 1920s. ... Social constructivism, thus, stress on the interpretive understanding of the reality. While studying the whole social life in a ...

  2. PDF Essentials of Descriptive-Interpretive Qualitative Research: A Generic

    In this particular book, we present descriptive-interpretive qualitative research by Robert Elliott and Ladislav Timulak. This generic approach is the culmination of many years of method development and research by these authors, who were pioneers in introducing qualitative research to the psycho-therapy field.

  3. Interpretive research

    The term 'interpretive research' is often used loosely and synonymously with 'qualitative research', although the two concepts are quite different. Interpretive research is a research paradigm (see Chapter 3) that is based on the assumption that social reality is not singular or objective. Rather, it is shaped by human experiences and ...

  4. Interpretive description: A flexible qualitative methodology for

    Interpretive description (ID), a widely used qualitative research method within nursing, offers an accessible and theoretically flexible approach to analysing qualitative data within medical education research. ID is an appropriate methodological alternative for medical education research, as it can address complex experiential questions while ...

  5. Methodology or method? A critical review of qualitative case study

    Definitions of qualitative case study research. Case study research is an investigation and analysis of a single or collective case, intended to capture the complexity of the object of study (Stake, 1995).Qualitative case study research, as described by Stake (), draws together "naturalistic, holistic, ethnographic, phenomenological, and biographic research methods" in a bricoleur design ...

  6. Guidelines for Designing an Interpretive Case

    This paper also offers guidelines for assessing the quality of an interpretive case study. Future guidelines should assist students in conducting critical interpretive case studies that critique the abuse of power, knowledge, and ideology in organizations and empower the marginalised, and decolonizing interpretive case studies that defy the ...

  7. Descriptive and interpretive approaches to qualitative research

    Descriptive-interpretive qualitative research methods go by many 'brand names' in which various common elements are mixed and matched according to particular researchers' predilections; currently popular variations include grounded theory (Henwood and Pigeon, 1992; Strauss and Corbin, 1998), empirical phenomenology (Giorgi, 1975; Wertz, 1983), hermeneutic-interpretive research (Packer ...

  8. Interpretive Description

    Interpretive Description has been used to answer questions where traditional methods were an imprecise fit, and where the questions "lie in-between methodologies" (Kahlke, 2014, p. 48).Kahlke argued, that designing a research framework consistent with the research question may "answer novel research questions" and has the potential to "open new ground" (p. 48).

  9. PDF Descriptive and interpretive approaches to qualitative research

    Robert Elliott and Ladislav Timulak. Qualitative research methods today are a diverse set, encompassing approaches such as empirical phenomenology, grounded theory, ethnography, protocol analysis and dis-course analysis. By one common definition (Polkinghorne, 1983), all these methods rely on linguistic rather than numerical data, and employ ...

  10. Interpretive Description (and how it differs from Qualitative

    " Thorne encourages users of interpretive description to, "lead their eventual reader toward a kind of knowing that was not possible prior to your study" (Thorne, 2016, p.181). Yes, I would agree that on the surface, interpretive description appears to be a relatively generic approach to qualitative inquiry that, perhaps, is not far from ...

  11. Case Study

    A pilot study is generally considered an exploratory case study. Descriptive case studies focus on the characteristics of the case. The explanatory case studies are employed for causal studies. ... The interpretive case study is used to interpret the data by developing conceptual categories. Whereas in evaluative case study, the researcher ...

  12. (PDF) Using Interpretive Qualitative Case Studies for Exploratory

    Using Interpretive Qualitative Case Studies for Exploratory Research in Doctoral Studies: A Case of Information Systems Research in Small and Medium Enterprises December 2015 International Journal ...

  13. Interpretive Case Study Research: Experiences and Recommendations

    We provide 15 recommendations of how to conduct interpretive CSR in IS. These recommendations are threefold and cover the following parts of a case study: (1) initiation, (2) data collection and (3) data analysis. In order to explain our recommendations we use anecdotal evidence from our case study.

  14. Capturing Lived Experience: Methodological Considerations for

    Fundamentally for interpretive phenomenological research, ... Compared to quantitative research and descriptive qualitative designs using thematic or ... and differences—documented in an ongoing fashion in analytic notes or memos. In the case of the exemplar study, the principal researcher wrote a preliminary analysis and a synthesis ...

  15. Descriptive Research

    Descriptive research aims to accurately and systematically describe a population, situation or phenomenon. It can answer what, where, when and how questions, but not why questions. A descriptive research design can use a wide variety of research methods to investigate one or more variables. Unlike in experimental research, the researcher does ...

  16. Differentiating between descriptive and interpretive phenomenological

    Aim: To provide insight into how descriptive and interpretive phenomenological research approaches can guide nurse researchers during the generation and application of knowledge. Background: Phenomenology is a discipline that investigates people's experiences to reveal what lies 'hidden' in them. It has become a major philosophy and research method in the humanities, human sciences and arts.

  17. PDF Using Interpretive Qualitative Case Studies for Exploratory Research in

    Using Interpretive Qualitative Case Studies 536 . ations (Merr iam, 2009; Pickard, 2013). The case study method is a popular research method that is particularly appealing for applied disciplines since processes, problems, and/or programs can be studied to engender understanding that can improve practice. Using a case study approach in

  18. Innovative Interpretive Qualitative Case Study Research Method Aligned

    According to Luck et al (2006), a case is a recognizable, complex and integrated purposive system. The main challenge in aligning case study research with systems theory is defining the case. Systems theory requires the holistic exploration of relationships and interdependence in the case (Luck et al, 2006). Therefore, aligning case study with ...

  19. Descriptive And Interpretive Case Study

    1 . . . DESCRIPTIVE CASE STUDY A descriptive case study is a story about a real world situation facing people or groups and how they addressed it. It includes a concise but thorough account of the facts of the situation and expert commentary to help the audience understand the causes of the problem. the forces behind the solution. the outcomes ...