fpn-cc-rm-cp-2023-en.pdf
(185 kB, PDF)
… The following advanced topics will then be covered: unbalanced factorial designs, contrast analysis, interaction in multiple regression, simple slope analysis, dummy coding, centering covariates, different coding schemes, collinearity and residuals checks and data transformation. The second half of the core course consists of four units, two on repeated measures ANOVA and two on mixed linear regression for repeated measures. The first two units cover classical repeated measures ANOVA for the one- … with random effects and autocorrelation, and so-called marginal models; Specifically, students are able to choose the correct method of analysis, and specify a statistical model to compare different models and choose the best model (based on checking assumptions, model fit and parsimony on top of plausibility), and to interpret effect estimates and significance tests obtained with that model. Prerequisites Good understanding of descriptive and inferential statistics at the elementary and … will be the main focus of this course. The course starts with an introductory session during which a modern approach of bodily distress disorders is presented and the example of low back pain is used to demonstrate this approach. Two sessions are workshops: in the first workshop session, students design an experimental/intervention study in smaller groups and in the second they present their design to the rest of the group and discussion, Q&A and critical reflection and feedback is stimulated. In …