Mastering the Lab: Advanced Analyses for Experimental Research



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Further and more detailed information, including the schedule, can be found in the current course tables in the syllabus of the respective course, if the course is offered in the next sessions. The following text serves as information on what can be expected in terms of content in the course.

This dual-focused course is designed to equip participants from various disciplines (behavioral economics, management, medicine, health science, communication, marketing) with the necessary skills to conduct rigorous experimental research and how to analyze data from various experimental designs. Against the backdrop of actual examples from practice and academia, each module of the course centers around a specific experimental design. Participants will learn how to improve these experimental designs and to conduct the appropriate data analysis techniques. The curriculum covers a diverse range of designs and corresponding analyses, including moderation, mediation, conditional processing, co-variate analyses, and logit. Participants will acquire a nuanced understanding of these techniques and their application in research. A part of the course will be devoted to preregistration and open science, addressing contemporary concerns in research integrity.