Qualitative data analysis involves examining and interpreting data to identify patterns, themes, and insights. This page provides an overview of commonly used qualitative analysis techniques and their typical applications. While the list is not comprehensive, each section introduces the most frequently used methods with links provided to other modules and external resources for further details.
If you would like to learn how to use NVivo software to assist with qualitative analysis, you may like to refer to the Introduction to NVivo module.
Thematic analysis is a widely used qualitative data analysis technique that involves identifying, analysing, and interpreting patterns or themes within qualitative data, such as interview transcripts, focus group discussions, or documents. The goal is to understand key ideas, experiences, or perspectives that emerge across the dataset.
Thematic analysis typically involves familiarising yourself with the data, generating initial codes, searching for themes, reviewing and refining themes, and defining and naming the final themes. It can be applied in an inductive way (themes emerge from the data) or deductively (based on pre-existing concepts or research questions).
Content analysis is a systematic method for coding and interpreting qualitative data to identify patterns, themes, or trends. It can be applied in both quantitative ways (for example, counting the frequency of specific words, phrases, or concepts) and qualitative ways (interpreting the meaning behind the content).
Content analysis is often used to study documents, interview transcripts, or texts and communication content. The process typically involves defining the coding categories, systematically applying them to the data, and then interpreting the results in the context of the research question.
Narrative analysis is a qualitative method used to study stories and personal accounts in order to understand how people make sense of events and experiences. It focuses on the content, structure, and context of narratives, examining how individuals construct meaning and convey their perspectives.
Narrative analysis is often applied to interview transcripts or reflective journals. The process typically involves identifying key events, turning points, and the sequence of experiences, as well as exploring how participants frame their stories and the meanings they attach to them.
Grounded theory is a qualitative analysis method used to develop a theory that explains a process, action, or interaction grounded in the data itself. Rather than starting with a pre-existing theory, researchers generate concepts and relationships directly from the data through iterative coding, constant comparison, and category development.
Grounded theory is often applied to interview transcripts, focus group discussions, or documents. The process involves open coding to identify initial concepts, axial coding to explore relationships between categories, and selective coding to refine and integrate categories into a coherent theory.