FAIR Workshop „Analyzing intervention effects in small and single-case data“

This workshop offers a comprehensive introduction to analyzing single-case data, a powerful approach for evaluating interventions at the individual level. The workshop is divided into three parts. The first part introduces fundamental concepts of single-case research and the scan package for data handling and visualization, including creating, structuring, and plotting data. It also covers analytical techniques like overlapping indices and piecewise linear regression, with practical exercises to prepare participants for advanced methods. The second part focuses on more complex scenarios, introducing multilevel and multivariate piecewise regression models for analyzing multiple experiments and outcome variables. It concludes with a discussion on using randomization tests for non-parametric data as well as statistical power analysis in experimental design planning. In the third part, participants will apply the presented methods to their own data sets and discuss the results.