I have a dataset that includes a number of variables that need to be reverse coded. I have already completed my missing data analysis, however, I did not reverse code the items prior to replacing the missing data (using the EM algorithm). I am also about to complete an exploratory factor analysis (EFA) on the data, followed by a confirmatory factor analysis (CFA) using SPSS.
Should I have reverse coded all items prior to replacing the missing data? Will this have influenced which numbers were used to replace the missing data, and if I reverse code items now, will it be wrong?
Should I have reverse coded the items prior to the EFA and CFA? I have heard that it can be okay to leave the reverse-coded items in EFA, as they will still load on the correct factors, but just be negatively loaded. However, I am wondering if this is correct/best practice?