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I have a question regarding not calculated Chi^2, CFI and TLIparameters in Mplus5. I have got a path model with 8 continous variables including three of them are denoted with plausible values. Therefore I use “Type = Imputation” so that all the parameters are calculated (at once) and I don’t have to calculate the model five times: for each set of plausible values separately. My problem is that Mplus does not calculate Chi^2 of the Baseline Model (and CFI,TLIparameters) for the model including all 8 variables using the MLestimator. If I omit any variable, Chi^2, CFI and TLIparameters are calculated. If I calculate the whole model separately for each set of plausible values Chi^2, CFI and TLIparameters will be calculated too. Thanks! 


CFI and TLI cannot be computed unless the baseline model converges. 


Dear Ms. Muthen, Thank you for your quick response. But now my problem is, that I do not know how to report my results. Can I report the standardized model results, the chi^2 test of model fit, the RMSEA and SRMR from the output of the “Type = Imputation”output and report the CFI and TLI from the five for each set of plausible value separately calculated outputs? Or do I have to report all results from the five for each set of plausible values separately calculated outputs and use the Rubinformula to calculate standardized model results? Thanks a lot for help! 


There is no theory for CFI/TLI with multiple imputations, nor summarizing CFI/TLI over the imputations so you might just as well report all five sets for them. 

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