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semmodel
2007 Feb 20
0
Standardized residual variances in SEM
...rved variables. "Sem" only gives the residual
variance with the "summary" function, or the standardized loadings with
the "standardized.coefficients" function (see below). Does anybody know
how to standardized the residual variance ?
Sincerely yours,
> summary(semModif.tmp, digits=2)
Model Chisquare = 601 Df = 229 Pr(>Chisq) = 0
Chisquare (null model) = 2936 Df = 253
Goodness-of-fit index = 0.81
Adjusted goodness-of-fit index = 0.78
RMSEA index = 0.08 90% CI: (0.072, 0.088)
Bentler-Bonnett NFI = 0.8
Tucker-Lewis NNFI = 0.85
Bent...