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ERIC Number: EJ782820
Record Type: Journal
Publication Date: 2008-Jan
Pages: 21
Abstractor: Author
Reference Count: 25
ISSN: ISSN-1070-5511
The Impact of Misspecifying Class-Specific Residual Variances in Growth Mixture Models
Enders, Craig K.; Tofighi, Davood
Structural Equation Modeling: A Multidisciplinary Journal, v15 n1 p75-95 Jan 2008
The purpose of this study was to examine the impact of misspecifying a growth mixture model (GMM) by assuming that Level-1 residual variances are constant across classes, when they do, in fact, vary in each subpopulation. Misspecification produced bias in the within-class growth trajectories and variance components, and estimates were substantially less precise than those obtained from a correctly specified GMM. Bias and precision became worse as the ratio of the largest to smallest Level-1 residual variances increased, class proportions became more disparate, and the number of class-specific residual variances in the population increased. Although the Level-1 residuals are typically of little substantive interest, these results suggest that researchers should carefully estimate and report these parameters in published GMM applications. (Contains 2 figures and 3 tables.)
Lawrence Erlbaum. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A