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ERIC Number: EJ880473
Record Type: Journal
Publication Date: 2010
Pages: 28
Abstractor: As Provided
Reference Count: 51
ISSN: ISSN-1070-5511
Evaluation of Structural Equation Mixture Models: Parameter Estimates and Correct Class Assignment
Tueller, Stephen; Lubke, Gitta
Structural Equation Modeling: A Multidisciplinary Journal, v17 n2 p165-192 2010
Structural equation mixture models (SEMMs) are latent class models that permit the estimation of a structural equation model within each class. Fitting SEMMs is illustrated using data from 1 wave of the Notre Dame Longitudinal Study of Aging. Based on the model used in the illustration, SEMM parameter estimation and correct class assignment are investigated in a large-scale simulation study. Design factors of the simulation study are (im)balanced class proportions, (im)balanced factor variances, sample size, and class separation. We compare the fit of models with correct and misspecified within-class structural relations. In addition, we investigate the potential to fit SEMMs with binary indicators. The structure of within-class distributions can be recovered under a wide variety of conditions, indicating the general potential and flexibility of SEMMs to test complex within-class models. Correct class assignment is limited. (Contains 11 tables, 4 figures, and 11 footnotes.)
Psychology Press. 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 - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A