期刊
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
卷 23, 期 5, 页码 726-730出版社
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/10705511.2015.1103193
关键词
conditional independence; latent class analysis; model selection; single-class model; unobserved heterogeneity; within-class model
A latent variable modeling procedure for examining whether a studied population could be a mixture of 2 or more latent classes is discussed. The approach can be used to evaluate a single-class model vis-a-vis competing models of increasing complexity for a given set of observed variables without making any assumptions about their within-class interrelationships. The method is helpful in the initial stages of finite mixture analyses to assess whether models with 2 or more classes should be subsequently considered as opposed to a single-class model. The discussed procedure is illustrated with a numerical example.
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