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On measures of explained variance in nonrecursive structural equation models.

P M Bentler·T Raykov
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Abstract

Whereas measures of explained variance in a regression and an equation of a recursive structural equation model can be simply summarized by a standard R2 measure, this is not possible in nonrecursive models in which there are reciprocal interdependencies among variables. This article provides a general approach to defining variance explained in latent dependent variables of nonrecursive linear structural equation models. A new method of its estimation, easily implemented in EQS or LISREL and available in EQS 6, is described and illustrated.

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Analysis of VarianceHumansModels, PsychologicalRegression AnalysisJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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P M Bentler, T Raykov. 2000. On measures of explained variance in nonrecursive structural equation models.. https://doi.org/10.1037/0021-9010.85.1.125

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