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ERIC Number: EJ933092
Record Type: Journal
Publication Date: 2011
Pages: 16
Abstractor: As Provided
Reference Count: 28
ISSN: ISSN-1070-5511
Modeling Latent Interactions at Level 2 in Multilevel Structural Equation Models: An Evaluation of Mean-Centered and Residual-Centered Unconstrained Approaches
Leite, Walter L.; Zuo, Youzhen
Structural Equation Modeling: A Multidisciplinary Journal, v18 n3 p449-464 2011
Among the many methods currently available for estimating latent variable interactions, the unconstrained approach is attractive to applied researchers because of its relatively easy implementation with any structural equation modeling (SEM) software. Using a Monte Carlo simulation study, we extended and evaluated the unconstrained approach to estimate Level 2 latent interactions in multilevel SEM. We compared mean-centered and residual-centered methods for forming product indicators. We found that using the unconstrained approach with either centering method produced unbiased parameter estimates and standard errors of Level 2 latent interactions when intraclass correlations and group sizes are large. The accuracy of estimation of latent interactions depended on the reliability of the indicators of the Level 2 constructs. When the reliability of indicators was low, parameter estimates became unacceptably biased, but not standard errors. The residual-centered method was found to be more sensitive to decreases in reliability of indicators. (Contains 3 tables and 1 figure.)
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