I try to compare different imputation techniques for missing values in three contexts: full SQM, CFA and PLS. Therefore I would like to estimate the 3 contexts x 2 sample sizes x 7 levels of missing values x 5 imputation techniques x 100 replications (21.000 analyses) I did this before (just for a couple of estimations) by using STATA and AMOS. With STATA it is possible to generate a dataset which belongs to a correlation matrix (the correlation matrix fits to a predefined SQM). I deleted several values, uses some imputation methods and estimated the paramteres with AMOS. Iím not sure if Mplus (MONTECARLO) can make the same analyses with less effort.