Multilevel Modeling Lecture Archive
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Multilevel Modeling

This course covers basic principles of data analysis involving multiple levels of membership, including basic research principles in multilevel modeling, hierarchical linear modeling, moderation, longitudinal designs, and missing data .


The articles written in English have blue links or blue table cells. The articles written in Thai have red links or red table cells.

Fall 2021 (Intro to Multilevel Modeling; Undergraduate, CU)

Lectures Materials Assignments
Multiple Regression (1)
Multiple Regression (2)
Random Intercept Model
Random Slope Model
Cross-level Interaction
Effect Size
Model Building
Multilevel Latent Covariate Model
Growth Curve Model (1)
Growth Curve Model (2)
Three-level Model
Missing Data
Dyadic Data Analysis

Lecture Material Archive

Topics Materials
Interpreting Regression Models and Basic Multilevel Models PowerPoint (2013).
Interpreting Multilevel Models with Centering PowerPoint (2013).
Interpreting Interactions in Multilevel Models PowerPoint (2013).
Interpreting Multilevel Models for Longitudinal Data PowerPoint (2013).
Using R for Multilevel Models Paper (2013).
Data set (2013).
R script (2013).
Supplemental Material for Interpreting Multivariate Growth Curve Model (2013).