This is a graduate-level course on multilevel modeling, a popular statistical approach in social, behavioral, and health sciences research. Multilevel modeling, also known as hierarchical linear ...
This study compared five common multilevel software packages via Monte Carlo simulation: HIM 7, Mplus 7.4, R (lme4 VI.1-12), Stata 14.1, and SAS 9.4 to determine how the programs differ in estimation ...
This paper introduces Low-EFFourth (LEF4), a MATLAB-based computational framework designed for generating and studying multilevel model ensembles in continuous dynamical systems. Initially developed ...
The main purpose of this study is to improve estimation efficiency in obtaining maximum marginal likelihood estimates of contextual effects in the framework of nonlinear multilevel latent variable ...
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