Open Science Talk by Dr. Jens Mazei TU Dortmund University
UM is on a mission to become a leading example in the Open Science movement, which aims to make research papers, data, methods, etc. open to anyone so we can all benefit. With the Open Science Talks, the Open Science Community of UM, in collaboration with the Community for Data-Driven Initiatives (CDDI), will help you find out more about these topics and discover how your colleagues have applied Open Science to their research. These lectures are a perfect chance to find inspiration in the work of others! Coffee/tea and cookies will be waiting for you!
For this Open Science Talk, on June 11th 2025 at 12:00, we’ve invited Jens Mazei (TU Dortmund University).
Dr. Jens Mazei is a research associate at the Technical University of Dortmund and his research focuses on the areas of negotiation and conflict management as well as motivation in teams. A scientifically sound approach to conflict is particularly important for activities that are characterized by numerous interpersonal interactions, such as in higher education. Jens Mazei also looks at the influence of digital communication and aspects of diversity (particularly gender) in the workplace in order to take current developments into account.
Don’t Put All of Your Eggs in One Basket: Multiverse Analysis in Applied Psychology
(Authors Jens Mazei (TU Dortmund University), Cort W. Rudolph (Wayne State University), Hannes Zacher (Leipzig University), Joachim Hüffmeier (TU Dortmund University)
Abstract:
A multiverse analysis allows researchers to systematically evaluate the support for a hypothesis across a range of sensible ways in which data can be prepared for statistical analysis and/or be analyzed. Accordingly, multiverse analysis provides insights into the relevance of different approaches to, for instance, dealing with outliers or attrition, creating scales, or using different measures for the same construct. The goal of this paper is to illustrate the usefulness of multiverse analysis for research in applied psychology and to guide researchers in conducting a multiverse analysis. To do so, we provide a detailed process model of the typical stages involved in conducting a multiverse analysis (along with a shortened version depicting multiverse analysis “at a glance”), as well as a designated, corresponding preregistration template for multiverse analysis. To showcase the merits of a multiverse analysis, we also evaluate two exemplary hypotheses regarding employees’ experience of commuting to and from work. We observed that the results of these hypothesis tests varied strongly depending on how common decisions were made. As such, multiverse analysis represents an important tool for exploring the robustness of knowledge at the level of individual studies, even before a replication is conducted. Hence, multiverse analysis can strengthen the openness and transparency of empirical work.
The program is as follows:
- 12.00 Short introduction by Roman Briker
- 12.05 Main lecture by Jens Mazei
- 12.40 Interactive discussion + Q&A
- 12.55 Closing statement
You do not need to register for this event, entrance is free. The UM location is yet to be decided.
See you there!
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