Techniques for qualitative data analysis

Qualitative data analysis is a process of examining non-numerical data to draw insights and conclusions. Some common techniques used for qualitative data analysis include content analysis, thematic analysis, grounded theory, and discourse analysis. Content analysis involves identifying patterns and themes in the data by analyzing the content and context of the data. Thematic analysis involves identifying recurring themes and patterns in the data. Grounded theory involves developing theories based on the data by constantly comparing and refining them. Discourse analysis involves examining how language is used in communication to derive insights. Each technique has its own strengths and limitations, and the choice of technique depends on the research question and the data being analyzed.

This mind map was published on 22 April 2023 and has been viewed 105 times.