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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