Within-Level Group Factorial Invariance With Multilevel Data: Multilevel Factor Mixture and Multilevel MIMIC Models

Within-level Group Factorial Invariance with Multilevel Data: Multilevel Factor Mixture and Multilevel MIMIC Models

This study suggests two approaches to factorial invariance testing with multilevel data when the groups are at the within level: multilevel factor mixture model for known classes (ML FMM) and multilevel multiple indicators multiple causes model (ML MIMIC). The adequacy of the proposed approaches was investigated using Monte Carlo simulations. Additionally, the performance of different types of ...

Multilevel Mixture Factor Models.

Factor analysis is a statistical method for describing the associations among sets of observed variables in terms of a small number of underlying continuous latent variables. Various authors have proposed multilevel extensions of the factor model for the analysis of data sets with a hierarchical structure. These Multilevel Factor Models (MFMs) have in common that-as in multilevel regression ana...

Multilevel Mixture Models

Mixture models for multilevel data sets

Multilevel Models 1 Multilevel Models for Family Data