I need some advice about how to identify which variables are associated with change between time 1 and time 2. The data-set contains:
1) repeated measures at time 1 and time 2. These are two continuous (scale) measures, e.g. a psychometric measure of self-esteem, and some ordinal measures (Likert-scale type questions).
2) demographic (categorical) data
3) programme process data (also categorical), e.g. which stages of the intervention a participant reached, e.g. did the participant engage in preparatory activities?
I need to analyse whether any variables (demographic and/or process) are associated with, or predict, changes in the repeated measures. My first thought was a multivariate regression but I’d be very grateful for some pointers about how to go about this!
Cheers.