The purpose of the MLM SIG is to provide a forum for the dissemination and discussion of methodological issues related to multilevel modeling.  This includes, but is not limited to, the following interrelated topics:

1. All types of multilevel models (e.g., ANOVAs, multilevel regression (HLM), Multilevel SEM, IRT, factor analysis, growth, mixture, and cross-classified);
2. Multilevel optimal design (e.g., cluster randomized designs, statistical power, sample sizes, effect sizes, and sampling weights);
3. Causal methods for observational data with multilevel models (e.g., propensity score, instrumental variable, and regression discontinuity methods);
4. Evaluation research with multilevel models (e.g., mediation, school effectiveness, and value added modeling);
5. Estimation strategies for multilevel models (e.g., Bayesian, ML, and WSL); and
6. Multilevel model assessment (e.g., model assumptions, outliers, missing values, and goodness of fit).