imputation - Possible to specify PLS-SEM model (semPLS-package) with multiple imputed data (package: MICE)?

Question

)

I′m just wondering whether it is possible to run PLS-SEM in semPLS with multiple imputed datasets!? (and if so, how?) My model runs fine if I impute mean values or choose listwise deletion, but if I want to run the multiple imputed data set, the information "Fehler in plsm(data = EEH_HT_Imputed, strucmod = StructMod_VWT_H, measuremod = latentVar) : The argument 'data' must be of class 'data.frame'." appears.

I also tried to define the imputed data as data set (as.data.frame()), but that didn′t work (Fehler in as.data.frame.default(EEH_HT_Imputed) : cannot coerce class ‘"mids"’ to a data.frame)

I know that I could use one of the (five) imputations, but in that case I would "destroy" the advantages of multiple imputation and could therefore use single imputed data, right!?

I case it′s not possible to use the multiple imputed data: Which single imputation method do you prefer?

Thank you very much for any hints!

Answer 1

等待大神答复