Interpretative Phenomenological Analysis (IPA) for Your Dissertation

Interpretative Phenomenological Analysis (IPA) is a qualitative research approach concerned with exploring how individuals make sense of significant life experiences. Originally developed by Jonathan Smith in the mid-1990s for health psychology research, IPA has since been adopted across disciplines including education, nursing, counseling, social work, and organizational studies.

If your dissertation focuses on understanding the lived experience of a specific group of people navigating a particular phenomenon – how first-generation doctoral students experience imposter syndrome, how nurses make sense of moral distress, how teachers experience curriculum reform – IPA may be an appropriate methodology. This guide provides a practical walkthrough of conducting IPA research at the dissertation level, from its theoretical foundations through data analysis and writing your findings.

The Three Theoretical Pillars of IPA

IPA is built on three interconnected philosophical traditions. Your methodology chapter must address all three, and your committee will expect you to demonstrate that you understand how they shape your research design.

Phenomenology

Phenomenology is the study of experience. IPA draws primarily from the work of Husserl, Heidegger, and Merleau-Ponty to focus on how people experience particular phenomena in their lives. The phenomenological commitment in IPA means you are interested in the texture and quality of the experience itself – not just what happened, but what it was like for the person.

In practical terms, this means your interview questions should invite participants to describe their experiences in rich detail. “Tell me about a time when…” and “What was that like for you?” are characteristic IPA interview prompts.

Hermeneutics

Hermeneutics is the theory of interpretation. IPA acknowledges that accessing someone else’s experience is never direct. It requires interpretation. Specifically, IPA involves a double hermeneutic: the participant is trying to make sense of their experience, and you, the researcher, are trying to make sense of the participant’s sense-making.

This double hermeneutic distinguishes IPA from purely descriptive phenomenological approaches. You are not simply reporting what participants said. You are interpreting what their accounts reveal about the meaning they attach to their experiences.

Idiography

Idiography is a commitment to the particular rather than the general. IPA prioritizes detailed examination of individual cases before moving to cross-case patterns. This means you analyze each participant’s account thoroughly and completely before looking for convergence and divergence across participants.

In practical terms, idiography shapes both your sample size (small, purposive) and your analysis process (case-by-case before cross-case).

Designing an IPA Study

Research Questions

IPA research questions are exploratory and experiential. They ask about the quality, meaning, or nature of an experience rather than seeking to measure, predict, or explain causally. Well-formed IPA research questions typically begin with:

“How do [participants] experience [phenomenon]?”
“What is it like for [participants] to [experience]?”
“How do [participants] make sense of [phenomenon]?”

Avoid research questions that can be answered with yes/no, that seek to establish frequency or prevalence, or that compare groups statistically. These are quantitative questions that IPA cannot address.

Sampling

IPA uses purposive, homogeneous sampling. You are looking for participants who share the experience you are investigating. The homogeneity ensures that your analysis can identify patterns and variations within a group that has a common reference point.

Sample size: IPA dissertations typically include 4 to 10 participants. Smith, Flowers, and Larkin (2022) recommend 6 to 10 for doctoral work. Smaller samples allow for the depth of analysis that IPA demands. If your committee pushes for a larger sample, you may need to advocate for the methodological principles of IPA – more participants does not mean better IPA research. It often means shallower analysis.

Recruitment criteria: Define clear inclusion criteria that establish the shared experience. For example: “Registered nurses who have practiced in intensive care settings for a minimum of two years and who self-identify as having experienced moral distress in their clinical work.”

Data Collection

Semi-structured interviews are the primary data collection method in IPA. Your interview schedule should include 6 to 10 open-ended questions that move from general to specific, from descriptive to evaluative.

Interview structure:

Opening questions: Broad, contextual questions that put the participant at ease and establish background. “Tell me about your journey to becoming a nurse.”
Core experiential questions: The heart of the interview. “Can you describe a specific situation where you experienced moral distress?” Follow up with: “What was going through your mind at that point?” and “How did that feel?”
Reflective questions: Questions that invite participants to make sense of their experience. “Looking back, what does that experience mean to you now?” and “How has it shaped the way you practice?”

Interview tips for IPA dissertations:

Interviews typically last 60 to 90 minutes
Prioritize depth over breadth. It is better to explore three rich experiences than to rush through ten surface-level ones
Use prompts and probes generously: “Can you tell me more about that?” and “You mentioned feeling trapped – what did you mean by that?”
Record and transcribe verbatim, including pauses, laughter, and emotional expressions

Analyzing IPA Data

IPA analysis follows a structured, iterative process. The steps below are based on Smith, Flowers, and Larkin’s (2022) framework, which your methodology chapter should cite.

Step 1: Reading and Re-Reading

Read the first transcript in its entirety at least twice before beginning any annotation. On the first read, simply absorb the narrative. On the second read, begin noting your initial reactions, observations, and questions in the margin.

This step serves the same purpose as familiarization in thematic analysis, but with an idiographic emphasis: you are immersing yourself in this one participant’s world before thinking about anyone else.

Step 2: Exploratory Noting

Go through the transcript line by line, making three types of notes:

Descriptive comments focus on the content – what the participant is talking about. These are close to paraphrasing.

Linguistic comments focus on how the participant uses language – metaphors, repetition, tone shifts, hesitations, laughter. Language choices often reveal meaning that the content alone does not.

Conceptual comments are your initial interpretations – questions, connections to theory, reflections on what the participant’s account might mean at a deeper level. This is where the double hermeneutic begins.

Step 3: Developing Experiential Statements

Review your exploratory notes and formulate concise statements that capture the essential quality of what you found in each section of the transcript. These statements should be grounded in the participant’s experience but expressed at a slightly higher level of abstraction than the raw data.

For example, if a participant described dreading going to work because she knew she would have to make decisions she found ethically wrong, an experiential statement might be: “Anticipatory dread transforms the workplace from a site of professional purpose into a source of moral threat.”

Step 4: Searching for Connections

Look for connections among your experiential statements. Group related statements into clusters. These clusters represent the emergent themes for this individual participant.

Common strategies for finding connections:

Abstraction: Grouping similar statements under a higher-order label
Subsumption: One statement becomes the label for a cluster of related statements
Polarization: Identifying opposing or contrasting statements
Contextualization: Noting how statements relate to key life events or temporal markers

Step 5: Naming Personal Experiential Themes

Give each cluster a descriptive name that captures its essence. These are your personal experiential themes (PETs) for this participant. List them with their supporting experiential statements and key quotes from the transcript.

Step 6: Repeat for Each Participant

Complete Steps 1 through 5 for every participant individually before moving to cross-case analysis. This is the idiographic commitment in action. Resist the temptation to let your analysis of earlier participants shape your reading of later ones. Each participant’s account deserves fresh, open engagement.

Step 7: Cross-Case Analysis

Once you have personal experiential themes for each participant, look for patterns of convergence and divergence across cases. Which themes appear across multiple participants? Which are unique to individual cases? Where do participants’ experiences diverge?

The result of this step is a set of group experiential themes (GETs) that represent the shared (and distinctive) dimensions of the experience you are studying.

Writing Your IPA Findings

IPA findings are presented as a narrative that interweaves participant quotes with your interpretive commentary. The structure typically follows your group experiential themes, with each theme forming a section of your results chapter.

For each theme:

Introduce the theme and explain its significance
Present quotes from multiple participants, showing both convergence and divergence
Provide interpretive commentary that goes beyond description – this is where your analytical voice is most important
Connect to the double hermeneutic by noting how participants make sense of their experience and what your interpretation adds

Quote selection: Choose quotes that are vivid, specific, and illustrative. Every participant should be represented across your results chapter, though not every participant needs to appear in every theme.

The interpretive balance: New IPA researchers often err in one of two directions. Some stay too close to the data, producing results that read like organized summaries of interviews. Others over-interpret, imposing theoretical frameworks on the data without grounding their claims in participant accounts. The goal is a middle path: interpretations that are clearly rooted in the data but that go beyond what the participant explicitly stated.

Common IPA Mistakes in Dissertations

Treating IPA as generic thematic analysis. IPA has specific philosophical commitments (phenomenology, hermeneutics, idiography) that distinguish it from other qualitative approaches. If your analysis does not engage with lived experience, interpretation, and the individual case, it is not IPA regardless of what you call it.

Skipping the idiographic step. Jumping directly to cross-case themes without thoroughly analyzing each case individually undermines the methodological integrity of IPA. Your committee will likely ask to see your case-by-case analysis.

Too many participants. Analyzing 15 or 20 participants using IPA typically results in superficial analysis. Defend your small sample by citing IPA methodology literature and demonstrating the depth of your analysis.

Descriptive rather than interpretive results. If your results chapter could have been written by the participants themselves, you have not engaged in interpretation. The double hermeneutic requires you to bring your analytical perspective to the data.

Neglecting divergence. IPA values both shared patterns and individual differences. If your findings present only convergence across participants, you are likely oversimplifying the data. Report where experiences diverge and what those differences might mean.

Key References

Your methodology chapter should cite the foundational IPA texts:

Smith, J. A., Flowers, P., & Larkin, M. (2022). Interpretative Phenomenological Analysis: Theory, Method and Research (2nd ed.). SAGE.
Smith, J. A. (2011). Evaluating the contribution of interpretative phenomenological analysis. Health Psychology Review, 5(1), 9-27.

These references establish your methodological foundation and demonstrate to your committee that you are grounding your approach in the established IPA literature.