3Thematic Analysis Lectures

A set of vocabulary flashcards derived from the lecture notes covering key concepts and terms related to Thematic Analysis.

Thematic Analysis

A method for identifying, analyzing, and reporting patterns (themes) within data.

Reflexive Thematic Analysis

Conducting thematic analysis with a focus on researcher self-awareness and critical reflection.

Coding

Systematic labeling of data segments to capture meaningful pieces of transcript related to research questions.

Data-Driven TA

Approach that starts with the data itself and develops themes based on what the researcher sees in the data.

Theory-Driven TA

Approach that begins with a theoretical framework to test or confirm that framework using collected data.

Themes

Central organizing concepts that capture shared meaning within coded data.

Familiarisation

Intense engagement with the dataset to gain deep knowledge before coding.

Common Mistakes in TA Writing

Underestimating the time required, failing to analyze data properly, and misalignment between data and claims.

Step 5: Refining and Naming Themes

The process of revising themes for clarity and ensuring they accurately represent the dataset.

Coding Software

Computer assisted qualitative data analysis software, like NVivo, aids in organizing and analyzing coded data.