Mixed Methods Fieldwork Data Analysis with MAXQDA (English)

February 27th


10am – 5pm

(incl. 1h lunch break)

Haus der Wirtschaft

Am Schillertheater 2, 10625 Berlin

260 €

130 € reduced

students/doctoral candidates

This was an MQIC 2019 workshop. Similar workshops will be offered at the MQIC 2020. Further information coming soon!

Mixed Methods Fieldwork Data Analysis with MAXQDA (English)


The workshop provides numerous practical examples, using data collected from fieldwork, to illustrate how MAXQDA can assist with qualitative and mixed methods analysis. We will look at document variables, which are a crucial element for any mixed methods analysis in MAXQDA. The following parts focus on frequently used qualitative and mixed methods features. We will address these questions:

  • How to use the transcription function?
  • How to create and use document variables?
  • How to compare groups of data with a crosstab or segment matrix?
  • How to discover coding patterns with the configuration table?
  • How to compare several documents with each other based on code occurrence and variable values?
  • How to create joint displays to represent the integration of qualitative and quantitative results?
  • How to use the interactive quote matrix to facilitate an integrated mixed methods analysis?
  • How to use the new “Stats” module for basic statistics, frequency tables or diagrams?
  • What is the added value of the new “Stats” module?

This workshop consists of a mixture of demonstrations and guided practice. We will have hands on activities to focus on the practical knowledge required for using MAXQDA for fieldwork analysis. Ample time is provided for questions.


  • Introduction to document variables as a crucial tool for mixed-methods-analyses with MAXQDA
  • Using crosstabs and segment matrices, especially to compare sub-groups
  • Using the transcription function
  • Noticing patterns in configuration table
  • Using joint displays to integrate qualitative and quantitative data
  • Using the interactive quote matrix to compare groups
  • Using the Stats module


After completing this workshop, participants will have a deeper understanding of using document variables for analysis of field work data in MAXQDA with the “Stats” module. Participants will be able to create frequency tables and diagrams and to compare groups of data based on codes and code frequencies with crosstabs and the segment matrix. They also know how to use features such as the interactive quote matrix and joint displays for mixed methods analysis.

After the workshop, participants will understand which research questions can be answered with which feature in MAXQDA.

For whom

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


Knowledge of the MAXQDA’s basic functions and features according to a “Starter Workshop” is required. This includes being familiar with the interface, adding documents to the project, coding procedures, retrieving coded segments, creating document variables.
A certain understanding of statistics eases the handling of the mixed methods functions but is not a strict requirement.


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.


Timothy C. Guetterman is an applied research methodologist and assistant professor at the University of Michigan. His work focuses on advancing the methodology of mixed methods research, particularly on integration and the intersection of mixed methods with qualitative designs. His applied work spans health sciences, education, and assessment.