Hello all, I am conducting principal components analysis (PCA) on data collected using a pretty lengthy questionnaire. I was able to run regression models with PCA scores as predictors using complete case analysis without an issue. However, the initial questionnaire data had a number of missing responses and I would like to incorporate multiple imputation into my analysis. I believe that it would be best to impute the raw questionnaire values but if I do imputation first, I will have a number of imputed datasets and am unclear of how to conduct PCA with more than one dataset. Has anyone had experience conducting PCA following multiple imputation? Can you provide an example or direction?
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