![]() Three-level models based on the EG data ( download data and command files) Two-level spatial analysis model ( download data and command files) Exploratory analysis of potential level-2 predictors.Modeling heterogeneous level-1 variance. ![]() Checking homogeneity of level-1 variance assumption.Creating an MDM file and a command file for a 2-level model.Two-level models based on the HSB data ( download data and command files) For specific examples for the different modules, please see below. ![]() To fit models in HLM, 8 statistical applications are used: HLM2, which fits 2-level linear and nonlinear (HGLM) models HLM3, which fits 3-level linear/nonlinear models HLM4, which fits 4-level linear/nonlinear models HMLM, which fits hierarchical multivariate 2-level linear models HMLM2, which fits hierarchical multivariate 3-level models HCM2, which fits 2-level crossed-and-nested models, HCM3, which fits 3-level crossed-and-nested models and HLMHCM, which fits linear models with crossed-and-nested random effects.
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