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Thematic Analysis

Qualitative Data Analysis

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What is Thematic Analysis?

Thematic Analysis is a method for analyzing qualitative data aimed at identifying, analyzing, and describing patterns (themes) in the data. It is one of the most widespread and accessible methods of qualitative analysis.

Braun and Clarke (2006) define thematic analysis as a method for "identifying, analyzing, and reporting patterns (themes) within data." It can be used within various philosophical paradigms.

Six Stages of Thematic Analysis (according to Braun and Clarke)

Stage 1: Familiarisation with the Data

  • Multiple readings of interview transcripts
  • Listening to audio recordings
  • Recording first impressions and ideas
  • Goal: immerse oneself in the data and begin to notice recurring patterns

Stage 2: Generating Initial Codes

  • Systematic assignment of codes to interesting fragments of data
  • Coding the entire data set, not just what confirms expectations
  • Each fragment can receive multiple codes
  • Codes are the smallest units of analysis

Example of coding:

Data FragmentCodes
"The manager never gives feedback, I don't know if I’m working well or not"[lack of feedback], [uncertainty], [interaction with management]
"I like that I can plan my remote day myself"[autonomy], [schedule flexibility], [self-organization]
"I miss the conversations at the coffee machine, it was an important part of my workday"[social isolation], [informal communication], [loss of rituals]

Stage 3: Searching for Themes

  • Grouping codes into potential themes
  • Creating a thematic map—a visualization of the connections between codes and themes
  • A theme is something that reflects a significant pattern in the data

Example of grouping:

Theme: "Communication Barriers"

  • Codes: [lack of feedback], [uncertainty], [social isolation], [informal communication], [technical communication problems]

Theme: "Autonomy and Self-Organization"

  • Codes: [autonomy], [schedule flexibility], [self-organization], [self-discipline], [time management]

Stage 4: Reviewing Themes

  • Checking whether themes work in relation to the coded fragments and the entire dataset
  • Combining, splitting, or discarding themes as needed
  • Creating the final thematic map

Criteria for a good theme:

  • Internal homogeneity—the data within the theme is consistent
  • External heterogeneity—the themes are clearly distinct from each other
  • The theme reflects a meaningful pattern, not just a singular observation

Stage 5: Defining and Naming Themes

  • Clearly defining the essence of each theme
  • Creating brief, accurate names
  • Writing a detailed description of each theme

Example: Theme: "The Paradox of Flexibility" — participants describe remote work as simultaneously liberating (flexible schedule, autonomy) and restrictive (blurred work/life boundaries, feeling of constant availability), creating an internal contradiction in their experience.

Stage 6: Writing Up

Presenting the results as a coherent narrative, supported by quotations from the data.

Presentation of Qualitative Results

Use of Quotations

Quotations from the data are a key element in presenting qualitative results. They:

  • Confirm identified themes with concrete examples
  • Give voice to the participants
  • Allow the reader to assess the validity of the interpretation

Rules for using quotations:

  1. Every theme should be supported by 2-3 quotations from different participants
  2. Quotations should be typical, not extreme
  3. Indicate the source (participant pseudonym)
  4. Long quotations (more than 3 lines) are formatted as a separate block

Structure for Presenting Results

For each theme:

  1. Name the theme — clear, descriptive title
  2. Define the theme — what it means
  3. Support with quotations — 2-3 illustrative quotations
  4. Interpret — connect with existing literature

Ensuring Quality in Qualitative Research

Unlike quantitative studies, qualitative research uses different criteria for quality:

Credibility — analogous to internal validity:

  • Prolonged engagement with the data
  • Triangulation (using multiple sources of data)
  • Member checking—returning results to participants for verification

Transferability — analogous to external validity:

  • Detailed description of context (thick description)
  • The reader evaluates how applicable results are to their context

Dependability — analogous to reliability:

  • Audit trail—documentation of all decisions
  • Keeping a research journal

Confirmability — analogous to objectivity:

  • Researcher reflexivity
  • Clear connection between data and conclusions

Practical Exercises

Exercise 1

Question: Read the following three interview fragments. Suggest codes for each and formulate one unifying theme.

Participant 1: "The hardest thing is that work is now always with you. Laptop in the kitchen, emails come at 10 p.m., and you feel like you should reply."

Participant 3: "I started working 12 hours instead of 8, because there’s no clear border—when does the workday end?"

Participant 5: "My wife says I’ve become invisible at home. Physically I’m here, but mentally I’m always at work."

Solution: Codes:

  • Participant 1: [constant availability], [blurred boundaries], [sense of duty], [work encroaching on home]
  • Participant 3: [overwork], [lack of clear workday boundaries], [increased working hours]
  • Participant 5: [impact on family relationships], [physical presence/mental absence], [workaholism]

Unifying theme: "Blurring Boundaries Between Work and Personal Life" Definition: Participants describe the systematic erasure of boundaries between work and personal space in remote work, manifested in constant availability, lengthening of the workday, and negative impact on family relationships. Physical merging of work and home space creates a feeling of being unable to "switch off" from work.

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