I have weighted survey data (6 strata) on which I want to run an EFA. In order to account for the weights, I know I simply add "WEIGHT IS (weight variable)" However, how do I take into account the stratified nature of the data, especially with only 6 strata?
Would a MIMIC model with 5 dummy-coded variables be the best way to proceed? Or could I get away with "TYPE IS COMPLEX" and "STRATIFICATION IS (stratum id)"?
With 6 clusters it would be a problem but not will 6 strata.
The two situations are different in the following way. Stratified sampling reduces standard errors while cluster sampling increases standard errors.
If you drop the strata variable from the analysis - the analysis is as if there is only one stratum (the whole population is one stratum). So adding the strata variable to the analysis will reduce further the SE and should not be causing problems the way small number of clusters would.