Ordinal CFA with Imputed Data PreviousNext
Mplus Discussion > Confirmatory Factor Analysis >
 Seth J. Schwartz posted on Tuesday, October 15, 2013 - 11:46 am
Dear Bengt and Linda:

I am working with a student whose data are behaving strangely in a CFA model. The student used a planned missingness design, so we created 10 imputed datasets and ran a CFA. She had translated the items from English into Georgian using multiple translators, but the factor loadings for the items on their latent subscale factors are completely different from what I get in my US samples. I'm thinking that cultural differences between the US and Georgia might be contributing to the unexpectedly low factor loadings.

I am considering specifying the items as ordinal, but that would require me to round the imputed values to the closest whole number. As I understand it, you're not supposed to do that. How would you suggest I proceed?

Thanks much.

Seth Schwartz
 Linda K. Muthen posted on Wednesday, October 16, 2013 - 3:54 pm
I would compare the imputed results with FIML. It is likely the translation changed the relationships among the variables.
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