What are the steps in thematic analysis?

Thematic analysis is a methodical process that involves several key steps to identify and analyze qualitative data to identify patterns or themes useful to the research question or objectives. Thematic analysis focuses on systematically breaking down the data so that researchers can interpret significant aspects of the content, providing insightful analysis relevant to their research questions.

This section delineates the fundamental steps in thematic analysis, offering a structured approach to understand and implement this research method.

Familiarization with the data

The initial step in thematic analysis is to become thoroughly acquainted with the data. This means immersively reading and re-reading the data, such as interview transcripts or survey responses, to gain a deep understanding of its breadth and depth.

During this phase, researchers should start noting in memos initial ideas, impressions, and potential patterns that merit further exploration.

Familiarization with the data is a key component of any qualitative analysis. Photo by Eliott Reyna.

Generating initial codes

After familiarizing themselves with the data, researchers proceed to generate initial codes. This involves systematically working through the data set and coding segments of text that are relevant to the research question.

Codes are concise labels that categorize important features of the data that may form the basis of emerging themes. This step requires meticulous attention to detail and an organized approach to segment and codify the data.

Searching for themes

Once the data have been coded, the next step is to collate codes into potential themes. This involves examining the codes and the data extracts associated with them to identify significant broader patterns that capture something important about the data in relation to the research question. Themes represent a level of patterned response or meaning within the data set.

Reviewing themes

After identifying potential themes, reviewing them is the next phase. This step involves two levels of review: first, checking the themes against the coded extracts to ensure they form a coherent pattern, and second, ensuring each theme is distinct and meaningful in relation to the other identified themes.

During this phase, some themes might be split, combined, or discarded as the analysis refines and sharpens the thematic map of the data.

Defining and naming themes

Having reviewed the themes, the next task is to define and refine them, giving each one a clear and informative name. Defining themes involves articulating what each theme captures about the data and why it is significant in relation to the research question.

Naming a theme should succinctly convey the essence of what it represents, allowing readers to understand the core of what was found.

Producing the report

The final step in thematic analysis is to produce a coherent and compelling report. A typical thematic analysis report involves weaving together the thematic analysis with the research question and the literature, providing vivid data extracts to illustrate each theme, and interpreting the significance of the themes in the broader context of the research.

The report should tell a coherent story about the data, clearly linking the analysis to the research question and the existing literature.