Seminars on qualitative data analysis workshop

Marie-Hélène Paré

These seminars address the foundations of qualitative data analysis (QDA), the approaches to code qualitative data, the techniques to seek patterns and identify relationships, and the best strategies to present qualitative findings. They provide participants with a solid understanding of the concepts, practices and procedures underlying the process of QDA from beginning to the end. They are essential to PhD students and researchers alike who are new to qualitative research and will have to analyse qualitative data qualitatively at some point. Seminars are either half- or full-day duration and can be taught before, after, or intertwined with a NVivo course. Below is a description of each seminar’s main topics. Foundations of qualitative data analysis

Aim: To situate the phase of QDA within a qualitative research design

Content
- Definition of QDA
- The qualitative analysis cycle
- Historical problems associated with QDA (aka ‘black box’)
- Link between research questions, study purpose, data collection, and QDA methods
- Epistemological and methodological influence on QDA practices
- Overview of content analysis, thematic analysis, cross-case analysis, grounded theory
- Coding qualitative data