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Article

A Monte Carlo investigation of factors influencing latent class analysis: an application to eating disorder research.

The International journal of eating disorders - 1 Jul 2012

Swanson Sonja A, Lindenberg Katajun, Bauer Stephanie, Crosby Ross D

Abstract excerpt

OBJECTIVE: Latent class analysis (LCA) has frequently been used to identify qualitatively distinct phenotypes of disordered eating. However, little consideration has been given to methodological factors that may influence the accuracy of these results. METHOD: Monte Carlo simulations were used to evaluate methodological factors that may influence the accuracy of LCA under scenarios similar to those seen in...

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PMID: 21882219
DOI: 10.1002/eat.20958

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