Dear Beginner K.,
regarding your sample size, a repeated-measures model (flexible
factorial) should be the right choice. According to your description,
you will have a group, a time and a subject (repeated) factor. Groups
and subjects are independent, the time factor, however, is not. Each
subject will appear at each time point, making your post-intervention
measurements dependent on the pre ones (also also their error
estimates). When it comes to variance, it's not so easy. There are
recommendations like keeping the variance setting to "equal" except for
between-group factors ("group" in your case) but this actually depends
on your data.
Am 13.12.2017 um 05:07 schrieb 김민경:
> Dear SPM community,
> Hello, I’d like to ask you for advice.
> My experiment design is consist of two groups, and each group has 10
> subjects. Each participant performed fmri twice(pre vs post
> intervention), and I want to compare the group difference according to
> repeated measurements.
> I am worried about what kind of analysis should be done for this.
> Flexible factorial design with group(variance: unequal, independence),
> subject,(variance: unequal, independence), time(variance: unequal,
> independence) factor would be appropriate?
> Waiting for your reply… thank you.
> Beginner K.