Computer and AI-assisted qualitative and quantitative analysis of qualitative data

Computer and AI-assisted qualitative and quantitative analysis of qualitative data

📅 Thursday 21/05 16:00-19:00h

📍 Main Hall

🔎 Needs Analysis

📒 Session Description

In the academic community, data triangulation is seen as one of the criteria that ensures high quality and robustness of research. This means that researchers have to deal with qualitative data (e.g. text, visual, and audio data) at least to some extent. There exist various software packages for computer assisted analysis of such data, but training opportunities on using them are scarce or costly. The proposed workshop will provide the participants with essential practical skills of using one of the most convenient software packages for qualitative and mixed methods research, namely, MAXQDA. This software is also extremely useful in conducting literature reviews, which is part of every PhD student’s path, so having a tool that can save time and improve reliability of complex theoretical findings (also empirical findings when empirical data is considered) is of essence. The software also has an inbuilt AI Assistant, which will be explored at the workhsop too.

💡 Learning Objectives

By the end of the workshop, participants will be able to:

1. Navigate and use MAXQDA software for organizing, coding, and analyzing qualitative (text, visual, audio) data effectively;
2. Apply MAXQDA to literature reviews, improving efficiency and reliability in synthesizing complex theoretical and empirical findings;
3. Leverage MAXQDA’s AI Assistant to support qualitative data analysis, coding, and interpretation;
4. Develop practical skills in computer-assisted qualitative data analysis that can be directly applied in PhD research or other academic projects.