|
|
 |
| RMESA, Information criteria ML-CFA |
 
|
| Message/Author |
|
|
| smeme posted on Sunday, June 19, 2016 - 7:18 am
|
|
|
With ML estimator how are RMSEA, and BIC computed for CFA with two-level, three-level and cross-classified models?
1. RMSEA with a grouping variable:
RMSEA = sqrt((chi-square/(n*d)) - (1/n))*sqrt(g)
a. what is n = nclusters or n = total level-1 observations?
b. What is g with a within- level or between-level grouping variable?
2. BIC = -2LL + np*log(n)
a. what is n = nclusters or n = total level-1 observations?
b. What about missing data? |
|
|
|
|
RMSEA is not computed with cross-classified models in Mplus
1a. Find in the output "Number of observations" i.e. n = total level-1 observations
1b. G is a between-level grouping variable (always) and is just the number of groups.
2a. n = total level-1 observations, find in the output "Number of observations"
2b. If an observation has missing values on all dependent variables, it is not counted in n. |
|
|
| Back to top |
|
|
