Abstract
One of the great virtues of structural equation models is that they permit the quantification of causal and noncausal sources of statistical relationship. The present article discusses efficient matrix methods of computation for effect decomposition and extends these methods to models with unstandardized variables and to nonrecursive models. An appendix includes a computer program, written in APL, which implements the techniques described in the article.
Keywords
Structural equation modelingComputationComputer scienceDecompositionApplied mathematicsMatrix (chemical analysis)EconometricsTheoretical computer scienceAlgorithmAlgebra over a fieldCalculus (dental)Mathematical optimizationMathematicsMachine learning
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Publication Info
- Year
- 1980
- Type
- article
- Volume
- 9
- Issue
- 1
- Pages
- 3-28
- Citations
- 128
- Access
- Closed
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Cite This
John Fox
(1980).
Effect Analysis in Structural Equation Models.
Sociological Methods & Research
, 9
(1)
, 3-28.
https://doi.org/10.1177/004912418000900101
Identifiers
- DOI
- 10.1177/004912418000900101