Jihyun Yoon posted on Wednesday, December 25, 2013 - 2:34 am
I am reviewing a dissertation having used Mplus for path analysis. The path model the candidate estimated has the information following. Is it ok to conduct MI with such many missing data? With this small sample size (i.e. small power), CFI and RMSEA values are meaningful in Mplus? How DF comes out as 198 in Mplus?
-Sample size=93 (The data of 40 subjects were complete for 15 variables, but the remaining 53 subjects had the data for only 7 variables, so the all the data for 8 variables of the 53 subjects were generated using multiple imputation for analysis.) -The number of observed variables in the model=15 -The number of paths in the model=23
Results: CFI=1, RMSEA=0, The chi-square of the model=146.5, DF=198.