Generalized Multilevel Structural Equation Modeling
University of California, Berkeley · Norwegian Institute of Public Health · +1 more institution
Abstract
A unifying framework for generalized multilevel structural equation modeling is introduced. The models in the framework, called generalized linear latent and mixed models (GLLAMM), combine features of generalized linear mixed models (GLMM) and structural equation models (SEM) and consist of a response model and a structural model for the latent variables. The response model generalizes GLMMs to incorporate factor structures in addition to random intercepts and coefficients. As in GLMMs, the data can have an arbitrary number of levels and can be highly unbalanced with different numbers of lower-level units in the higher-level units and missing data. A wide range of response processes can be modeled including…
Citation impact
- FWCI
- 18.90
- Percentile
- 100%
- References
- 91
Authors
3Topics & keywords
- Structural equation modeling
- Categorical variable
- Latent variable
- Generalized linear mixed model
- Mathematics
- Multilevel model
- Factor analysis
- Latent class model
- Reduced inequalities