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Model4.r [6] | 1.77 KB |
Hi,
I'm trying to run a random intercept, random slope model from the book Latent Growth Curve Modeling by Preacher, Wichman, MacCallum, & Briggs (2008, p.31). All the coefficients, degrees of freedom, chi-square, look the same as the book, but not for RMSEA. The reported RMSEA from the book is 0.07, which I also replicated in LISREL. However, the value in OpenMx is 0.1453412. Does anyone know how that is calculated?
I attached the R script. Thanks in advance.
Mark
degrees of freedom: 14
-2 log likelihood: 11832.83
saturated -2 log likelihood: 11756.92
number of observations: 851
chi-square: 75.90627
p: 1.613149e-10
Information Criteria:
df Penalty Parameters Penalty Sample-Size Adjusted
AIC 47.90627 87.90627 NA
BIC -18.54350 116.38474 97.3305
CFI: 0.9998968
TLI: 0.999742
RMSEA: 0.1453412