Descriptive or interpretative, what bracketing asks of you, and why most studies calling themselves phenomenology are not.
Phenomenological research studies lived experience: what it is actually like to undergo something, described as closely as possible to how it is lived rather than explained from outside. Its defining question is what an experience is for those who have it, not what causes it or how common it is. The first decision, and the one examiners ask about, is whether you are working descriptively — setting your own assumptions aside — or interpretatively, where your understanding is part of the analysis.
Interviewing people about an experience and analysing what they said is not automatically phenomenology. Plenty of theses claim the label for what is a thematic analysis of interview data, and it is one of the easier claims to dismantle in a viva.
A phenomenological study is organised around getting to the experience itself. That has consequences for every stage:
The test worth applying to your own transcripts: are participants describing what happened and what it was like, or are they offering views about it? A dataset made of views cannot support a phenomenological analysis however it is coded.
The two traditions diverge on what you are meant to do with your own prior understanding, and everything downstream follows from that. You are expected to state which you are in.
Rooted in Husserl and developed methodologically by Giorgi and by Colaizzi among others. The aim is to describe the essential structure of an experience — what makes it the experience it is, across the people who have had it.
It asks you to set aside your existing assumptions, theories and expectations so the phenomenon can appear on its own terms. That setting-aside is bracketing, and it is the practice most often claimed and least often evidenced. Doing it properly means writing down what you already believe about the phenomenon before you start, returning to that record during analysis, and describing in the thesis how it was managed. A single sentence asserting that assumptions were bracketed is not evidence of anything.
Rooted in Heidegger and developed by van Manen and others. It holds that setting your understanding aside is not possible: you are already inside the world you are studying, and your prior understanding is what makes interpretation possible in the first place.
So instead of bracketing, you make your position explicit and work with it reflexively. The analysis moves between the parts and the whole — individual passages and the developing overall account — in what is usually called the hermeneutic circle.
Choosing this tradition and then claiming to have bracketed your assumptions is a contradiction, and a visible one.
Developed by Smith and colleagues, and widely used in psychology, health and education. It is interpretative rather than descriptive, and has three commitments worth knowing.
It is idiographic: each case is analysed thoroughly in its own right before any move to compare across participants, and the individual case remains visible in the write-up. It works with small, homogeneous samples — often single figures, with published guidance for student projects suggesting notably few participants, precisely because depth per case is the point. And it involves a double hermeneutic: you are making sense of the participant making sense of their experience, which is why the analyst’s interpretive role is acknowledged rather than minimised.
IPA is the most clearly specified of the phenomenological approaches, which makes it the easiest to follow correctly and the easiest to be caught departing from.
The specific procedures differ between traditions and you should follow and cite one rather than assembling your own. The shared shape, though, looks like this.
Research into lived experience: what it is like to undergo something, described as closely as possible to how it is actually lived rather than explained from outside. It asks what an experience is for those who have it, not what causes it or how widespread it is, and it works with people who have genuinely lived the phenomenon in question.
Descriptive phenomenology, following Husserl and developed by Giorgi and Colaizzi, aims to describe the essential structure of an experience and asks you to bracket your own assumptions so it can appear on its own terms. Interpretative or hermeneutic phenomenology, following Heidegger and van Manen, holds that bracketing is impossible because your prior understanding is what makes interpretation possible — so you make your position explicit and work with it. The choice determines what you are supposed to do with your own preconceptions, so it has to be stated.
Bracketing is setting aside your existing assumptions, theories and expectations so the phenomenon can be described on its own terms. Showing it means producing evidence: a written record of your preconceptions made before data collection, notes on returning to it during analysis, and an account in the thesis of how it was managed and where it was difficult. A sentence stating that assumptions were bracketed evidences nothing, and examiners treat it accordingly.
Far fewer than most qualitative designs, because depth per case is the point. Published guidance for student projects suggests small single-figure samples, and the numbers cited are conventions rather than rules. What matters more is homogeneity: participants should share the experience closely enough that variation lies in how it was lived rather than in what was lived. A large, varied sample is a poorer fit for IPA, not a stronger one.
No. Thematic analysis is an analysis method that can be applied to almost any qualitative data. Phenomenology is a methodology with commitments about what you collect, from whom, and what counts as a finding — the structure of an experience rather than patterns of topics. Many studies claiming phenomenology are conducting thematic analysis of interviews about a topic, which is a legitimate thing to do and should be named accurately.
Phenomenological studies usually fail at the interview guide, not the analysis — and a dataset of opinions cannot be rescued afterwards. Describe your phenomenon and your questions, and a PhD in your field will look at them with you.
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