The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Confirmatory factor analysis models of factorial invariance: A multifaceted approach
Abstract
Typical confirmatory factor analysis studies of factorial invariance test parameter (factor loadings, factor variances/covariances, and uniquenesses) invariance across only two groups (e.g., males and females) or, perhaps, across more than two groups reflecting different levels of a single design facet (e.g., age). The present investigation extends this approach by considering invariance across groups from a two‐facet design. Data consist of multiple dimensions of self‐concept collected from eight groups of students (total N = 4,000) representing a 2 (Gender) × 4 (Age) design. The gender‐stereotypic model posits a particular pattern of gender differences in structure that varies with age. Adopting analysis‐of‐variance terminology, the model posits that structural differences will vary as a function of gender but that this gender effect interacts with age. In testing this model, I consider the lack of invariance in different sets of parameters attributable to gender, age, and their interaction.
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Cites
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Self-citationMarsh, H. W., Muthén, B., Asparouhov, T., Lüdtke, O., Robitzsch, A., Morin, A. J. S., & Trautwein, U. (2009) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705510903008220 · Cited by 1,093
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Metadata
- Authors
- Marsh, H. W.
- Venue
- Structural Equation Modeling: A Multidisciplinary Journal
- Publisher
- Informa UK Limited
- Published
- 1994-01
- Volume
- 1
- Issue
- 1
- Pages
- 5-34
- ISSN
- 1070-5511 (ISSN-L)
- 1532-8007
- OpenAlex
- W2102214680
- Cited by
- 444
- References
- 2
- FWCI
- 25.37
- Type
- journal article
- Language
- en
- Open access
- closed
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