I have a study where patients were measured pre-operatively (time_pre), post-operatively (time_post) and long-term follow-up (time_lt). I have 60 subjects.
Data consists of: 5 scale variables (1-100) 14 ordinal variables (1-5) and some patient specific characteristics (none missing) like age, gender, co-morbidities (yes / no)
I want to check if there is a significant difference between pre-operative scores and post-operative scores (long- and short-term) and between short and long-term follow-up. Therefore I used a repeated measures ANOVA on the scale variables and with post-hoc Bonferroni correction, and Friedman's test for the ordinal variables with post-hoc Bonferroni correction.
Now I want to repeat these tests, but with the missing values filled in.
Therefore I performed multiple imputations, but I can't figure out how I should perform a repeated measures ANOVA from this point.
I use SPSS v22 statistical software.