I have read up on a number of threads discussing this, but none address my exact situation so I thought I would try my luck with outlining what I'm working with and getting more relevant insight.
I am doing a pilot study using just one group of subjects. This group has undergone several weeks of an intervention, and I've taken outcome measures pre- and post-treatment.
There are quite a number of outcome measures I'm looking at. What I'm trying to determine is whether the treatment has caused a change in these outcome measures from pre- to post-treatment.
What would be the most appropriate test to use here? It seems to me that a repeated measures ANOVA is used for multiple groups (I do not have this). Paired t-tests would do the trick, but I would be running quite a few of them - I imagine there is some problem with running multiple t-tests? Is there a way to correct for them (i.e., would I need to use something like the Holm method to adjust the p-values coming out of all the t-tests)?
Is there some better way to analyse this data that I may not be seeing? Appreciate any insight.