Introduction to MAXQDA – Effective Practices as You Develop Your MAXQDA Project (English)

Wednesday, 28 February 

2024

10am-1pm

English

120,00 €

80,00 € reduced

students/doctoral candidates

Overview

    This workshop will investigate the early stages of a developing project file—the considerations for shaping, organizing, and importing raw data and the MAXQDA functions that enable you to maintain a clear and well-organized project during the initial phase of analysis. The workshop will function like a brief simulation. You will be provided with sample data and work in a collaborative setting to create a MAXQDA project file and undertake some exploratory analysis. Throughout the workshop, we will seize opportunities to interrogate and discuss our organizational and analytical choices and rationale. Participating in this workshop will provide you with an opportunity to adapt some new practices and think deliberately about the way you conceptualize organizing your data and commencing early analysis. By seeing, in context, when and where certain MAXQDA functions are used, you will gain a clearer sense of their broader scope and scale which should aide you in later applications The workshop will consist of demonstrations and activities where you will have an opportunity to practice the things you learn. We will take questions as they emerge and lean into the expertise of the group to learn from our peers where possible.

Content

  • Specialized import functions –to think about the way that data is shaped and organized and how these characteristics affect your analysis techniques.
  • Document variables –to provide you with varied groupings of your data and a system to navigate your project file.
  • Notation tools –memos, paraphrases, code comments, and summaries
  • AI Assist –to quickly explore a broad data set and provide a footing for more nuanced analysis and review.
  • “Challenge” exercises –once you’ve mastered the basics, work with more complicated functions or messier data that may require some workarounds.

For Whom

This workshop is intended to reach a broad audience. For those new to MAXQDA, there are practical steps to take away that can be implemented immediately. For more experienced MAXQDA users, we present this workshop as a space to be mindful of your own current practice and encourage you to think intentionally about the way you approach your work.

Requirements

MAXQDA users of all skill levels are welcome to attend.

Laptop

Participants will need a laptop with a current version of MAXQDA to participate in the workshop exercises. Please notice the system requirements.

About the Trainer

Joel Drevlow, is a qualitative and mixed methods research consultant and trainer. 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.