Relating latent class membership to external variables: an overview

Zsuzsa Bakk and Jouni Kuha

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: 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.

Keywords: covariates; distal outcome; latent class analysis; three-step estimation; two-step estimation (search for similar items in EconPapers)
JEL-codes: C1 (search for similar items in EconPapers)
Pages: 23 pages
Date: 2020-11-16
New Economics Papers: this item is included in nep-ecm
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Published in British Journal of Mathematical and Statistical Psychology, 16, November, 2020. ISSN: 0007-1102

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