The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
COVARIANCE STRUCTURE ANALYSIS: Statistical Practice, Theory, and Directions
Abstract
▪ Abstract Although covariance structure analysis is used increasingly to analyze nonexperimental data, important statistical requirements for its proper use are frequently ignored. Valid conclusions about the adequacy of a model as an acceptable representation of data, which are based on goodness-of-fit test statistics and standard errors of parameter estimates, rely on the model estimation procedure being appropriate for the data. Using analogies to linear regression and anova, this review examines conditions under which conclusions drawn from various estimation methods will be correct and the consequences of ignoring these conditions. A distinction is made between estimation methods that are either correctly or incorrectly specified for the distribution of data being analyzed, and it is shown that valid conclusions are possible even under misspecification. A brief example illustrates the ideas. Internet access is given to a computer code for several methods that are not available in programs such as EQS or LISREL.
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Citations
Cites
Causation issues in structural equation modeling research
Bullock, H. E., Harlow, L. L., & Mulaik, S. A. (1994) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705519409539977 · Cited by 237
Cited by
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Self-citationHu, L.-T., & Bentler, P. M. (1998) · Psychological Methods · doi:10.1037/1082-989x.3.4.424 · Cited by 12,298
Self-citationEvaluating the use of exploratory factor analysis in psychological research.
Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999) · Psychological Methods · doi:10.1037/1082-989x.4.3.272 · Cited by 9,587
Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003) · Department of Psychology - University of Koblenz-Landau · doi:10.23668/psycharchives.12784 · Cited by 8,975
Development and validation of a brief screening version of the Childhood Trauma Questionnaire
Bernstein, D. P., Stein, J. A., Newcomb, M. D., Walker, E., Pogge, D., Ahluvalia, T., Stokes, J., Handelsman, L., Medrano, M., Desmond, D., et al. (2003) · Child Abuse & Neglect · doi:10.1016/s0145-2134(02)00541-0 · Cited by 6,419
Metadata
- Authors
- Bentler, P. M., & Dudgeon, P.
- Venue
- Annual Review of Psychology
- Publisher
- Annual Reviews
- Published
- 1996-02
- Volume
- 47
- Issue
- 1
- Pages
- 563-592
- ISSN
- 0066-4308 (ISSN-L)
- 1545-2085
- OpenAlex
- W2147697289
- Cited by
- 566
- References
- 1
- FWCI
- 15.14
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bentler, P. M., & Dudgeon, P. (1996). COVARIANCE STRUCTURE ANALYSIS: Statistical Practice, Theory, and Directions. Annual Review of Psychology. https://doi.org/10.1146/annurev.psych.47.1.563
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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.
