I am evaluating pre and post test data for 2 groups using repeated measures ANOVA. Given that I am missing a few data cells, the final n is reduced in the analysis. I'd like to know if I can run separate repeated measures ANOVA for each subtest (or combinations that have the same number of full data sets) rather than include them all in the same model to maximize the data analyzed. If I ran separate ANOVAs, are there implications for my interpretation of the output? Thank you for any advice.
You're better off doing something that allows you to do the equivalent analysis, but doesn't get upset about the missing data (a structural equation model or a multilevel model), or doing imputation first to fill in the missings.
Perhaps tell us more about your model, your data, and what program you're using to analyze it.