Staying Close to the Data: Enhancing Data Analysis through Interdisciplinary Teams (English)

February 28th


10 am – 5 pm
Haus der Wirtschaft

Am Schillertheater 2, 10625 Berlin

240 €

120 € reduced

Students/PhD candidates


This workshop will demonstrate a set of analytic practices that help to ensure that your analysis and interpretation is strongly rooted in the data. The approach emphasizes how team-based processes encourage deep reflection on data and enhance the analysis process through iterative data review and discussion.

The workshop demonstrates the approach by taking participants through a series of analysis exercises in small groups with brief qualitative texts; we will also discuss how to incorporate some of these techniques when working on a solo project (e.g. a doctoral dissertation).

We will discuss and practice:

  • How to use memo-writing for a deep initial exploration and reflection on textual data
  • How to use reflexive memo-writing to build the richness of the team-based analysis process
  • How to develop robust codes/definitions inductively through iterative team processes
  • How to use analytic memo-writing as a team to analyze fuzzy concepts in the data
  • How sort retrieved segments inductively to identify properties and dimensions of themes


  • How to write and organize memos in MAXQDA
  • How to export and import teamwork to review memos written by multiple analysts
  • How to create codes and definitions in MAXQDA
  • How to export and import teamwork to review codings, examine disagreements, and develop inductive code definitions based on the “fit” with data and analysis goals.
  • How to assess agreement among coders for the purpose of codebook development
  • How to explore coded data and identify properties and dimensions of themes using MAXMaps


On completing this workshop, you will be able to implement a set of analytic processes that main proximity to the data and make the most of team-based analysis.

For whom

This course is for anyone interested in developing inductive approaches to data analysis that continually re-affirm the analyst’s desire to remain close to the data. The course will be of particular benefit to analysts working in teams or considering team-based approaches, yet the techniques discussed are also extremely useful to solo analysts – especially if they can incorporate peers in occasional analytic tasks. The course will also benefit consultants working with teams, or instructors interested in incorporating team-based exercises in classroom teaching.


A dataset will be provided for workshop exercises.


Please bring a laptop with the most recent version of MAXQDA installed (Windows or Mac) installed to this workshop. The free trial version is sufficient.


Karen Andes is a Ph.D. Political Scientist with post-doctoral training in International Demography and Anthropology. She is a full-time faculty member of the Department of Global Health at Emory University’s Rollins School of Public Health, where she has supervised over 50 qualitative MPH Theses and has led several team-based analysis projects for the University as well as at the US Centers for Disease Control. Dr. Andes in an expert in qualitative research methods and analysis, with over 12 years of experience teaching MAXQDA in the US, as well as in Spanish in Paraguay, Colombia, and Mexico.