I've got 16 subjects split into either a treatment or placebo group. My alternative hypothesis is that there will be a significant increase in stride length post-treatment compared to post-placebo. So far I've used a student t-test on the treatment group pre and post-treatment data, and the placebo group pre and post-treatment to reveal there was no significant increase in either.
I've been told I need to now test the 2 groups against each other to see if there is a significant difference, but I'm not sure how/what test to use.
Any help is appreciated!
Analysis of Variance (ANOVA) and if your dependent variable (stride length) has repeated measures, use Repeat Measures ANOVA
It appears that you performed a paired (single group) t-test separately on each group.
It is correct that you need to perform unpaired (two groups) t-test, comparing the two post-measurements. By the way, did you have a random design and were your pre-measurements similar between the two groups?
I’ve calculated the difference in my pre and post treatment stride lengths for both groups and used an unpaired t test (Assuming unequal variance) on the differences. This gave me a non-significant P-value which I was expecting as there was no significance pre and post treatment for either group using a paired t-test.
I’ve also used repeated measures ANOVA on my pre and post treatment strides lengths for both groups, but somethings gone wrong on google sheets and it can’t calculate my P Value? Am I supposed to input all the data at once (with 2 columns for before and after data and multiple rows for the data within the two groups) or is it supposed to be individuall?
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