I have one categorical independent variable with two levels (Group 1 and Group 2). These groups were measured at two times on 10 dependent variables, therefore, I have 2 sets of 10 variables for Time 1 and Time 2. For illustration sake, lets consider Hit_1 (tested at time 1) and Hit_2 (tested at time 2) These 10 variables are dependent, i.e. performance on one variable depends on performance on another variable (they are actually signal detection variables from a memory task ie hits, correct rejections etc). The 10 variables are all interval. Some of the variables were not normally distributed so I did a square-root transformation.
How can I do the following:
- test whether there is an effect for Group 1 (i.e. differences between Hit_1 and Hit_2)?
- for Hit_1 test whether there is a significant difference between Group 1 and 2?
For each of the above, how can I perform a multiple comparison analysis with an alpha correction?