0
$\begingroup$

I have 10 participant and I want to measure if there is a correlation between their main measure and a clinical condition. I want to know how to calculate the degree of freedom pre and post measures across all participant ?

I know df = n-2 but this is for post measure

$\endgroup$
0
$\begingroup$

The analysis you are looking for is called a repeated measures anova because it is specifically designed for analyses where the same subject is measured multiple times. This analysis has two degrees of freedom that need to be recorded: A) the number of repeated measurements minus 1 (you have 2 per subject so your df here is 1) and for the subjects where you just add up the per subject df (in this case it's 10*1 because 10 subjects and 1 df per subject).

Here is an excellent reference that shows all the steps and how to calculate the degrees of freedom: https://www.discoveringstatistics.com/repository/onewayrmhand.pdf

or here: https://statistics.laerd.com/statistical-guides/repeated-measures-anova-statistical-guide-2.php

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.