Qualitative Data Analysis 101 Tutorial: 6 Analysis Methods + Examples

The video emphasizes the importance of understanding qualitative data, which includes not just text-based data but also the interpretation of images and videos. Qualitative analysis is described as challenging and time-consuming, with potential nuances and complexities in interpreting large amounts of text-based or audio data. The six qualitative data analysis methods discussed are Qualitative Content Analysis, Narrative Analysis, Discourse Analysis, Thematic Analysis, Grounded Theory, and Interpretive Phenomenological Analysis (IPA). The tutorial concludes by highlighting the need to choose the right method based on research aims and objectives, acknowledging the strengths, weaknesses, and limitations of each approach.