September 3, 2023
Open Science Coffee: Assessing robustness through multiverse analysis – Applications in research and education
When processing and analyzing empirical data, researchers regularly face choices that seem to be arbitrary. As such, interpreting the outcome of a single analysis can be tricky, because plausible alternatives remain unexplored. In other words, we’d like to know how robust a given finding is. To accomplish that, we can conduct a multiverse analysis, which involves methodically examining the various choices pertaining to data processing and/or model building. In this talk, Tom Heyman will provide concrete illustrations of multiverse analyses, and demonstrate how they can be fruitfully incorporated in an educational context, more specifically, student research projects.
There is no prior knowledge or expertise required to join this OSCoffee, open to all!
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2. Directly join the meeting on from 14:00 by clicking link to follow.