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