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RMESA, Information criteria ML-CFA |
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smeme posted on Sunday, June 19, 2016 - 7:18 am
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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? |
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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. |
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