Using MAXQDA to Conduct Integrative Mixed Methods Analysis

Wednesday, 28 February 

2024

2pm-5pm

English

120,00 €

80,00 € reduced

students/doctoral candidates

Overview

The workshop focuses on mixed methods analysis, which involves the integration of both qualitative and quantitative data, methods, or results. We will briefly review the key characteristic of mixed methods research, major designs, and strategies for integration. The workshop focuses on leveraging the functions of MAXQDA to achieve meaningful integration. Supplemented with examples and demonstrations from actual research studies, participants will learn how MAXQDA can assist with mixed methods analysis from setting up your project file with both qualitative and quantitative data to conducting integrative analysis. We will address these functions:

  • How to create and use document variables
  • How to use the new “Stats” module
  • How to compare groups of data with a crosstabs
  • How to use the quote matrix and interactive quote matrix to facilitate an integrated mixed methods analysis
  • How to create joint displays to represent the integration of qualitative and quantitative results

We will have hands on activities to practice using MAXQDA for mixed methods analysis.

Content

  • Introduction to document variables as a crucial tool for mixed methods analyses with MAXQDA
  • Adding and importing document variables
  • Activation by document variables
  • Using the Stats module
  • Using crosstabs and segment matrices, especially to compare sub-groups
  • Using the quote matrix and interactive quote matrix to compare quantitatively different groups
  • Using joint displays to integrate qualitative and quantitative data

For Whom

For anyone who is interested to learn which features MAXQDA offers for mixed methods research and how to use them.

Requirements

Knowledge of the MAXQDA basic features, including the ability to use the interface, add documents to the project, create and apply codes, and retrieve coded segments. An basic understanding of statistics and mixed methods will be helpful.

Laptop

All participants need a Windows or Mac laptop with the most current version of MAXQDA Analytics Pro (incl. the Stats module). If you do not already have a MAXQDA license, you can download the 14-day free trial shortly before the workshop. Please notice the system requirements.

About the Trainer

Timothy C. Guetterman PhD, an Assistant Professor and Associate Director of the Mixed Methods Program at the University of Michigan. His methodological interest is to advance rigorous methods of quantitative, qualitative, and mixed methods research, particularly strategies for intersecting and integrating qualitative and quantitative research. His applied research spans health sciences, education, assessment, and other fields. He co-authored the sixth edition of Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, with John W. Creswell. He serves as Co-Editor in Chief for the Journal of Mixed Methods Research. He is President-Elect of the Mixed Methods International Research Association.