This study was designed to find the best strategy for selecting the correct multilevel model
among several alternatives taking into account variables such as intraclass correlation …

This study was designed to find the best strategy for selecting the correct multilevel model
among several alternatives taking into account variables such as intraclass correlation …

Multilevel models are an increasingly popular method to analyze data that originate from a
clustered or hierarchical structure. To effectively utilize multilevel models, one must have an …

Multilevel model (MLM) selection is a consequential and influential decision point in
statistical modeling. It dictates how we construct and present knowledge about a …

In this article, practical problems with multilevel techniques are discussed. These problems,
brought to our attention by the National Center for Education Statistics (NCES), have to do …

Researchers in education and the behavioral and social sciences are making increasingly
frequent use of multilevel model (hierarchical linear model) analytic techniques to answer …

The purpose of this two-part study is to evaluate methods for multiple group analysis when
the comparison group is at the within level with multilevel data, using a multilevel factor …

This study investigates the quality of multilevel model parameter estimates and standard
errors as a function of varying magnitudes of correlation among Level 1 predictors and …

This is my third review of the ML series of packages from the Institute of Education's
Multilevel Modelling Project for this journal. The theme of my first review (in 1996) was that …

The three-level multivariate multilevel model (MVMM) is a multivariate extension of the
conventional univariate two-level hierarchical linear model (HLM) and is used for estimating …