In my experiment I compare the jump height of participants pre and post 2 separate interventions.
All participants completed baseline measures of jump height. Participants then underwent a training intervention followed by post test measurements. On a separate occasion the same participants completed a different intervention before post test measurements were taken.
I believe I should use paired t-tests to compare these groups as the same participants were tested pre and post. However, I also want to compare the post test scores from intervention 1 with the post test scores from intervention 2 (to see if there were significant differences between the two interventions).
Is there a test I should use to achieve this in one? Or do I use the paired t-tests for pre and post comparisons and a further test for the post-post comparison?
Thanks in advance!
Best Answer
Sorry, I'm new to the network. I do not know which statistical program you use, I use SPSS. If I understood correctly (I'm not native to the language) you have three measures of the same individuals. If your data have a normal distribution, if there is homogeneity of variances and if the variances of the three measurements are not different (p> 0.05) you can use Anova for repeated measures.