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