Resources for implementing mixed-effects models for different designs.

Sections 1-3 were part of the original repository accompanying our peer-reviewed manuscript (Lohse, Kozlowski, & Strube, 2023, Communications in Kinesiology) as supplementary material. These sections have since been revised for clarity and updated code, but the changes are minimal relative to the published version. Sections 4-9 are brand new additions, extending beyond the scope of the original manuscript, and were not part of the peer-reviewed material.

  1. Section 01 - Introduction to Mixed-Effects Models
  2. Section 02 - Mixed-Effects Models for Longitudinal Data
  3. Section 03 - Mixed-Effects Models for Factorial Designs
  4. Section 04 - Mixed-Effect Models for Time Series within Factorial Designs
  5. Section 05 - Fixed-Effect Coding, Centering, and Post-Hoc Contrasts with emmeans
  6. Section 06 - Modeling Autocorrelation and Heteroscedasticity with nlme
  7. Section 07 - Generalized Linear Mixed Models (GLMMs) for Non-Normal Data
  8. Section 08 - Crossed Random Effects (Participants and Stimuli/Items)
    • (Coming Soon)
  9. Section 09 - Model Diagnostics for Mixed-Effects Models
    • (Coming Soon)
  10. Further Readings and Recommendations