The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Applications of Structural Equation Modeling in Psychological Research
Abstract
This chapter presents a review of applications of structural equation modeling (SEM) published in psychological research journals in recent years. We focus first on the variety of research designs and substantive issues to which SEM can be applied productively. We then discuss a number of methodological problems and issues of concern that characterize some of this literature. Although it is clear that SEM is a powerful tool that is being used to great benefit in psychological research, it is also clear that the applied SEM literature is characterized by some chronic problems and that this literature can be considerably improved by greater attention to these issues.
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Cites
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Alternative Ways of Assessing Model Fit
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Self-citationMeasurement Invariance, Factor Analysis and Factorial Invariance
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Principles and practice in reporting structural equation analyses.
McDonald, R. P., & Ho, M.-H. R. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.1.64 · Cited by 4,734
A practical guide to factorial validity using PLS-graph: tutorial and annotated example
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Bias in cross-sectional analyses of longitudinal mediation
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An empirical comparison of the efficacy of covariance-based and variance-based SEM
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Metadata
- Authors
- MacCallum, R. C., & Austin, J. T.
- Venue
- Annual Review of Psychology
- Publisher
- Annual Reviews
- Published
- 2000-02
- Volume
- 51
- Issue
- 1
- Pages
- 201-226
- ISSN
- 0066-4308 (ISSN-L)
- 1545-2085
- OpenAlex
- W2169294797
- Cited by
- 2,623
- References
- 11
- FWCI
- 8.89
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
