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ERIC Number: EJ813850
Record Type: Journal
Publication Date: 2008-Oct
Pages: 29
Abstractor: As Provided
Reference Count: 51
ISSN: ISSN-1070-5511
Incorporating Measurement Nonequivalence in a Cross-Study Latent Growth Curve Analysis
Flora, David B.; Curran, Patrick J.; Hussong, Andrea M.; Edwards, Michael C.
Structural Equation Modeling: A Multidisciplinary Journal, v15 n4 p676-704 Oct 2008
A large literature emphasizes the importance of testing for measurement equivalence in scales that may be used as observed variables in structural equation modeling applications. When the same construct is measured across more than one developmental period, as in a longitudinal study, it can be especially critical to establish measurement equivalence, or invariance, across the developmental periods. Similarly, when data from more than one study are combined into a single analysis, it is again important to assess measurement equivalence across the data sources. Yet, how to incorporate nonequivalence when it is discovered is not well described for applied researchers. Here, we present an item response theory approach that can be used to create scale scores from measures while explicitly accounting for nonequivalence. We demonstrate these methods in the context of a latent curve analysis in which data from two separate studies are combined to estimate a single longitudinal model spanning several developmental periods. (Contains 5 figures, 8 footnotes and 3 tables.)
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 - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A