title: On measures of explained variance in nonrecursive structural equation models.
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.
authors.affiliation: Department of Psychology, University of California, Los Angeles 90095-1563, USA. bentler@ucla.edu
authors.forename: P M
authors.initials: PM
authors.lastname: Bentler
authors.forename: T
authors.initials: T
authors.lastname: Raykov
mesh_terms: D000704:Analysis of Variance; D006801:Humans; D008960:Models, Psychological; D012044:Regression Analysis