PROC LCA: A SAS Procedure for Latent Class Analysis
Top Cited Papers
- 23 October 2007
- journal article
- research article
- Published by Taylor & Francis Ltd in Structural Equation Modeling: A Multidisciplinary Journal
- Vol. 14 (4), 671-694
- https://doi.org/10.1080/10705510701575602
Abstract
Latent class analysis (LCA) is a statistical method used to identify a set of discrete, mutually exclusive latent classes of individuals based on their responses to a set of observed categorical variables. In multiple-group LCA, both the measurement part and structural part of the model can vary across groups, and measurement invariance across groups can be empirically tested. LCA with covariates extends the model to include predictors of class membership. In this article, we introduce PROC LCA, a new SAS procedure for conducting LCA, multiple-group LCA, and LCA with covariates. The procedure is demonstrated using data on alcohol use behavior in a national sample of high school seniors.Keywords
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