Published on *OpenMx* (http://openmx.psyc.virginia.edu)

By *marklhc*

Created *10/02/2011 - 00:31*

Sun, 10/02/2011 - 00:31 — marklhc [1]

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

Attachment | Size |
---|---|

Model4.r [2] | 1.77 KB |

**Links:**

[1] http://openmx.psyc.virginia.edu/users/marklhc

[2] http://openmx.psyc.virginia.edu/sites/default/files/Model4.r

[3] http://openmx.psyc.virginia.edu/thread/1236

[4] http://openmx.psyc.virginia.edu/thread/1097

[5] http://openmx.psyc.virginia.edu/forums/opensem-forums/longitudinal-sem-and-latent-growth-curves