LFU:online

At the end of this course, the participants are able to plan, analyze and publish interventional studies in psychoherapy research and education. Successful participants will know how to adjust for baseline performance, to analyze subgroups, to do interim analyses, to test for equivalence instead of difference, to deal with missing data, to deal with multiple outcome variables, to analyze binary data, count data, and event times, to deal with clustered data (e.g. group therapy), and to compare natural (i.e., not randomized groups). The participants will acquire some very basic R skills, but most of the analyses can be done with SPSS or R. In the end, students will be able to plan and analyze interventional studies in real world-settings, including basic preprocessing of data, import and export of different files, and standardized reporting.

Participants are expected to have basic knowledge in statistical testing and some English skills for the written material. The course is suited for students who wish to analyze their own data.

Using examples from interventional studies in clinical and educational psychology and medicine, we review the basic study design in clinical trials, including statistical tests and sample size planning. Step by step we learn how to extend the methodology to adjust for baseline performance, to analyze subgroups, to do interim analyses, to test for equivalence instead of difference, to deal with missing data, to deal with multiple outcome variables, to analyze binary data, count data, and event times, to deal with clustered data (e.g. group therapy), and to compare natural (i.e., not randomized groups).

Lecture + exercises

Unterricht + Übungen. Laptop erforderlich, bitte R/RStudio und G*Power installieren, ggfs. auch SPSS.