I am trying to conduct a 2X3 repeated measures ANOVA and am having some difficulty understanding the best way to setup the design matrix. I have made an initial attempt but can't decide if I am approaching this correctly or not.
I tried to amend the Tripled-two group difference example to a two group design and thought I may be able to look at this in an ANOVA fashion using the contrast and F-tests. It then occurred to me that this might be the way to conduct the followup t-tests based on the outcome of the ANOVA? I have gone ahead and attached my initial attempt for the two groups. Will I be able to use this to look at if there is a significant group difference (Group 1 A-B different than Group 2 A-B) or only if A-B is significant?
If I need to amend the ANOVA examples to a repeated measures design, I am not exactly sure how to go about this. Any advice as to the best approach or some additional information on how to incorporate the repeated measures design for multiple groups would be greatly appreciated.
Thanks so much.
Group EV EV2 EV3 EV4 EV5 EV6 EV7 EV8 EV9 EV10EV11EV12EV13 EV14EV15EV16EV17EV18EV19EV20EV21EV22EV23EV24EV25 EV26 EV27EV28
Input 1 1 1 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 2 1 1 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 3 1 1 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 4 1 1 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 5 1 1 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 6 1 1 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 7 1 1 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
Input 8 1 1 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
Input 9 1 1 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
Input 10 1 1 0 -1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 11 1 1 0 -1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 12 1 1 0 -1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 13 1 1 0 -1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 14 1 1 0 -1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 15 1 1 0 -1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 16 1 1 0 -1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
Input 17 1 1 0 -1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
Input 18 1 1 0 -1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
Input 19 1 1 0 0 -1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 20 1 1 0 0 -1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 21 1 1 0 0 -1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 22 1 1 0 0 -1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 23 1 1 0 0 -1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 24 1 1 0 0 -1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
Input 25 1 1 0 0 -1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
Input 26 1 1 0 0 -1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
Input 27 1 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
Input 28 2 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1
Input 29 2 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
Input 30 2 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
Input 31 2 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
Input 32 2 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
Input 33 2 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
Input 34 2 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
Input 35 2 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
Input 36 2 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
Input 37 2 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1
Input 38 2 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
Input 39 2 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
Input 40 2 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
Input 41 2 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
Input 42 2 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
Input 43 2 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
Input 44 2 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
Input 45 2 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
Input 46 2 0 1 0 0 0 -1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1
Input 47 2 0 1 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
Input 48 2 0 1 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
Input 49 2 0 1 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
Input 50 2 0 1 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
Input 51 2 0 1 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
Input 52 2 0 1 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
Input 53 2 0 1 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
Input 54 2 0 1 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
Group 1 or 2
EV1 Group 1
EV2 Group 2
EV3 Group 1 A-B
EV4 Group 1 A-C
EV5 Group 2 A-B
EV6 Group 2 A-C
EV7 Subject 1 Mean
EV8 Subject 2 Mean
EV9 Subject 3 Mean
EV10 Subject 4 Mean
EV11 Subject 5 Mean
EV12 Subject 6 Mean
EV13 Subject 7 Mean
EV14 Subject 8 Mean
EV15 Subject 9 Mean
EV16 Subject 10 Mean
EV17 Subject 11 Mean
EV18 Subject 12 Mean
EV19 Subject 13 Mean
EV20 Subject 14 Mean
EV21 Subject 15 Mean
EV22 Subject 16 Mean
EV23 Subject 17 Mean
EV24 Subject 18 Mean
EV25 Subject 19 Mean
EV26 Control Variable 1-scores to be entered
EV27 Control Variable 2-scores to be entered
EV28 Control Variable 3-scores to be entered
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