Method Guides

Comprehensive tutorials on longitudinal analysis methods with simulated data examples.

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Growth Models

Model change trajectories over time using latent growth curves

Latent Growth Curve Models

Model individual trajectories over time using SEM-based growth curves.

→ Overview→ Worked Example→ Reference
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Mixed Models

Account for nested data structure with fixed and random effects

Generalized Estimating Equations

Estimate population-averaged effects for correlated data without modeling individual trajectories.

→ Overview→ Worked Example→ Reference

Generalized Linear Mixed Models

Extend mixed models to non-continuous outcomes — binary, count, and ordinal — while preserving individual-level trajectories.

→ Overview→ Worked Example→ Reference

Linear Mixed Models

Model individual trajectories while accounting for the nested structure of longitudinal data.

→ Overview→ Worked Example→ Reference