I am conducting an experiment and I am struggling to find the right solution to analyze my data. The summary is as follows:
I have a multinomial response variable (5 answers from a questionnaire).
I have a 2-level hierarchy for my dependent variables - 2 groups and in each group, 2 treatments. Within each group, there are 25 independent responses for each treatment.
I want to know whether there is a significant treatment effect on the outcome of the questionnaire. I.e. did participants answer option "A" of the questionnaire more after treatment "1" or treatment "2", etc.
I think I need to use a hierarchical multinomial regression but I am not sure how to interpret the results (I am using Jamovi). Does anyone have any suggestions?
