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IB DP Psychology — Research Methodology | SL & HL | Paper 3
Learning Intentions By the end of this note, you will be able to:
- Define thematic analysis, themes, and codes using IB-aligned terminology.
- Explain the six-phase process of conducting thematic analysis and the purpose of each phase.
- Describe the difference between inductive and deductive approaches to thematic analysis.
- Distinguish between semantic and latent themes and explain when each is appropriate.
- Evaluate the strengths and limitations of thematic analysis as a qualitative research method.
- Apply thematic analysis concepts to a given research scenario or stimulus material.
- Analyse thematic analysis using relevant concept areas: Bias, Measurement, Causality, and Responsibility.
- Discuss issues of credibility, reflexivity, and researcher influence in thematic analysis.
Introduction & Context
Imagine you have just conducted twenty in-depth interviews with teenagers about their experiences of social media and self-esteem. You now have hundreds of pages of transcribed conversation. The participants have spoken freely, in their own words, about pressures, comparisons, moments of pride, and moments of anxiety. The richness of what they have shared is extraordinary — but how do you make sense of it all? How do you move from raw, messy, personal accounts to something that can be communicated as a finding?
This is precisely the challenge that qualitative researchers face, and it is the challenge that thematic analysis was designed to address. Rather than reducing human experience to numbers or scores, thematic analysis allows a researcher to identify patterns of meaning across a dataset — to find the recurring ideas, experiences, and concerns that run through what participants have said. It is one of the most widely used methods in qualitative psychology precisely because it is flexible, accessible, and deeply attentive to the complexity of human experience.
Thematic analysis sits within the broader tradition of qualitative research, which prioritises depth, context, and meaning over statistical generalisation. Understanding thematic analysis requires first appreciating what qualitative data actually looks like — interviews, focus groups, diary entries, open-ended survey responses — and why such data demands a different kind of analytical approach than quantitative methods.
🔍 Analogy — Sorting a Pile of Letters Imagine receiving hundreds of handwritten letters from people describing their experience of moving to a new country. You spread them all out and begin reading. Gradually, you notice that many people mention loneliness in the first few months. Others talk about the excitement of new food. Several describe a turning point when they made a local friend. You begin grouping letters by these recurring experiences — not because you decided in advance what to look for, but because the patterns emerged from the letters themselves. This is essentially what thematic analysis does: it finds the recurring patterns of meaning within qualitative data and organises them into coherent themes.
Core Concepts
Before we can understand how thematic analysis works, we need to understand what it is trying to produce. When a researcher analyses qualitative data, the goal is not simply to describe what was said — it is to identify what the data means. The building block of this process is the code , and the larger structure that codes combine to form is the theme .
📖 Key Definition — Thematic Analysis Thematic analysis is a qualitative research method used to identify, analyse, and report patterns of meaning (themes) within a dataset. It involves a systematic process of coding data and organising codes into themes that capture something significant about the data in relation to the research question. The method was formalised by Braun and Clarke (2006) and is applicable across a