Journal
BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY
Volume 74, Issue 2, Pages 340-362Publisher
WILEY
DOI: 10.1111/bmsp.12227
Keywords
latent class analysis; covariates; distal outcome; three‐ step estimation; two‐ step estimation
Ask authors/readers for more resources
This article provides an overview of existing approaches for relating latent class membership to external variables of interest, building on the work of Nylund-Gibson et al. It summarizes models with distal outcomes and recommended modeling options for models with covariates and multiple latent variables. The article also demonstrates modeling approaches using data from the General Social Survey and discusses software availability.
In this article we provide an overview of existing approaches for relating latent class membership to external variables of interest. We extend on the work of Nylund-Gibson et al. (Structural Equation Modeling: A Multidisciplinary Journal, 2019, 26, 967), who summarize models with distal outcomes by providing an overview of most recommended modeling options for models with covariates and larger models with multiple latent variables as well. We exemplify the modeling approaches using data from the General Social Survey for a model with a distal outcome where underlying model assumptions are violated, and a model with multiple latent variables. We discuss software availability and provide example syntax for the real data examples in Latent GOLD.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available