I have recently conducted an experiment to compare the efficacy of 3 treatments and I had a whait-list group too. I had three interventions and a I wanted to compare their efficacy on cognitive performance (I used 5 assessment tools to assess this) of elderly, Ive selected 100 people and randomly assigned them on these 4 groups. Ive conducted a pretest for baseline, a post test after the lasts session of interventions and a follow up test after 6 month.
my experiment design is like below: where X are my interventions, and O1 is pretest, O2 is post test and O3 is follow-up
treatment1 O1 X1 O2 O3
treatment2 O1 X2 O2 O3
treatment3 O1 X3 O2 O3
wait-list O1 - O2 O3
I want to compare the effect of these 3 interventions and see if each intervention is significant or not, and I want to see if the effect of interventions are lasted after 6 month in my follow up. now whats my best option to analyze the collected data in SPSS? I have used the repeated measures in general linear model section, but it has its shortcomings and don't give me the data I need.
I have attached the PAIRWISE COMPARISON by BONFERRONI, the problem is I want to know how each treatment worked and which treatment effect lasted best over time, in this table I just see that there are differences in time 1 vs time 2 and etc, but it wont give me the data based on each treatment. can anyone help me with this please? Thanks in advance