I have a test that I have given people, and it is looking at two particular variables. Each variable has two item types. So either an item is, for example, nice or mean, or passionate or dispassionate.
I wanted to look at whether responses to nice and mean items were differentially affected between two time points, and also whether passionate and dispassionate items were differentially affected. Each participant takes the test twice - once at each time point.
I am looking at both rating and response time for each item.
So, overall, from what I understand the best method of doing this is to perform a two-way repeated-measures ANOVA for each of the variables examined. This leads to four different two-way repeated-measures ANOVAs.
Do I need to correct for multiple comparisons, and if so, how would I go about doing that?
I wanted to look at whether responses to nice and mean items were differentially affected between two time points, and also whether passionate and dispassionate items were differentially affected. Each participant takes the test twice - once at each time point.
I am looking at both rating and response time for each item.
So, overall, from what I understand the best method of doing this is to perform a two-way repeated-measures ANOVA for each of the variables examined. This leads to four different two-way repeated-measures ANOVAs.
- time vs. nice-mean - ratings
- time vs. nice-mean - response times
- time vs. passionate-dispassionate - ratings
- time vs. passionate-dispassionate - response times
Do I need to correct for multiple comparisons, and if so, how would I go about doing that?