I would like to test if there is a significant difference between pre and post predictor on the same dependent variable.
So far t-test provides information on the difference between before and after, but how do we test the difference on how it perform on a same dependent variable?
For example, sample of 10 patients before taking any prescribed medication, how many hours they can sleep, as opposed to the same 10 patients after taking the prescribed medication, how many hours they can sleep.
I am not sure whether I understand your problem correctly, but I would also suggest to go for a paired t test. The extension of it, is the repeated measures ANO(C)VA, just in case you want to control for certain effects...
Best regards,
Florian
If your variables are qualitative and you check the association between two or more than two qualitative or categorical variable then use chi square test.
If your variables are quantitative and you check the association between two quantitative variable then use independent t test.
If you want to compare the results of before and after, then use paired t test.
ANOVA will only be used when there is more than 2 quantitative variables.
Thank you Zubair Hassan , Mehwish Rafique Florian Schuberth
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