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A Simple Rule for Generating Equivalent Models in Covariance Structure Modeling
Abstract
This study introduces the replacing rule as a simplification of Stelzl's (1986) four rules for the generation of recursive equivalent models. The replacing rule is applicable to nonrecursive as well as recursive models, and generates equivalent models through the replacement of direct paths with residual correlations, through the replacement of residual correlations with direct paths, or through the inversion of path directions. Examples of the use of the replacing rule are provided, and its advantages over Stelzl's four rules are discussed.
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Practical issues in structural modeling
BENTLER, P. M., & CHOU, C.-P. (1987) · Sociological Methods & Research · doi:10.1177/0049124187016001004 · Cited by 5,804
Cited by
Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003) · Department of Psychology - University of Koblenz-Landau · doi:10.23668/psycharchives.12784 · Cited by 8,975
Edwards, J. R., & Lambert, L. S. (2007) · Psychological Methods · doi:10.1037/1082-989x.12.1.1 · Cited by 4,711
Wood, A. M., Maltby, J., Gillett, R., Linley, P. A., & Joseph, S. (2008) · Journal of Research in Personality · doi:10.1016/j.jrp.2007.11.003 · Cited by 761
(2004) · Springer Texts in Statistics · doi:10.1007/b98963 · Cited by 517
Graphs, Causality, and Structural Equation Models
PEARL, J. (1998) · Sociological Methods & Research · doi:10.1177/0049124198027002004 · Cited by 341
Metadata
- Authors
- Lee, S., & Hershberger, S.
- Venue
- Multivariate Behavioral Research
- Publisher
- Informa UK Limited
- Published
- 1990-07
- Volume
- 25
- Issue
- 3
- Pages
- 313-334
- ISSN
- 0027-3171 (ISSN-L)
- 1532-7906
- OpenAlex
- W2018639429
- Cited by
- 219
- References
- 1
- FWCI
- 3.33
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lee, S., & Hershberger, S. (1990). A Simple Rule for Generating Equivalent Models in Covariance Structure Modeling. Multivariate Behavioral Research. https://doi.org/10.1207/s15327906mbr2503_4
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
