In the past 2 decades latent variable modeling has become a standard tool in the social sciences. In the same time period, traditional linear structural equation models have been extended to include ...

The purpose of the present study was to model math achievement at both the person and university levels of the analyses in order to understand the optimal factor structure of math competency. Data ...

This software specialises in three areas: models with responses at several levels of a data hierarchy, multilevel structural equation models, and measurement error ...

Conventionally, multilevel analysis of covariance (ML-ANCOVA) has been the recommended approach for analyzing treatment effects in quasi-experimental multilevel designs with treatment application at ...

This study examines the application of information criteria in the selection of multilevel structural equation models (MSEM), analyzing different estimation methods (ULS, GLS, and ML) and statistical ...

ABSTRACT: Multilevel CFA models (MLV CFA) modeling permits more sophisticated construct validity research by examining relationships among factor structures, factor loadings, and errors at different ...

Steele F, Clarke P, Leckie G, Allan JL & Johnston D (2017) Multilevel structural equation models for longitudinal data where predictors are measured more frequently than outcomes: an application to ...

Abstract: The brain is composed of networks of interacting brain regions that support higher-order cognition. Among these, a core network of regions has been associated with recollection and other ...