Hosted by Joel Drevlow

Joel Drevlow is a qualitative and mixed methods research consultant and trainer and MAXQDA Cooperation Partner. He holds a Master’s in Education from the Harvard Graduate School of Education, where he studied International Education Policy. His research interests include issues of trust and relationship-building in educational organizations and the facilitation of team-based qualitative data analysis. Prior to establishing his own consultancy, he worked with the University of Wisconsin-Madison, Division of Extension as a data analyst and trainer.

Conducting Comprehensive and Systematic Qualitative Data Analysis: In-depth Insights into MAXQDA

Whether your project is a large-scale broad analysis or a focused deep dive, a solo endeavor, or a collaborative team effort, possessing a tool where you can organize, analyze, visualize, and present your findings is invaluable to you or your teams’ success.

In this session, we will explore what makes MAXQDA a world-leading tool for qualitative and mixed methods analysis. Specifically, we will discuss the following aspects of working with MAXQDA:

How project organization and analysis documentation features enable a systematic approach

How MAXQDA’s Logic of activation and retrieval allows you to build custom visualizations and reports

How you can collaborate for team-based analysis

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