help > RE: correlation analysis
Jan 13, 2022  12:01 AM | Andrew Zalesky
RE: correlation analysis
Hi Lorna, 

It is definitely not a partial correlation. Partial correlation would involve first regressing out the age and sex effects and then performing correlation on the residuals. 

"Regression controlling for the effects of age and sex" would seem like a good description to me. 

Originally posted by jules_ozark:

Hello Professor,

For your second point here about positive and negative correlations with a t-test - would this be considered a multiple regression analysis or analysis of covariance analysis if you are adding covariates such as sex and age? Or simply a partial correlation?

Thank you in advance. 
Originally posted by Andrew Zalesky:
Hi Lorna,

Thanks for your interest. Here are a few points to consider:

1. The column of ones should be included to account for the global mean. The significant result you found when removing the column of ones is most likely the mean effect (unless you have explicitly demeaned your measure of connectivity).

2. A contrast of [0 0 1] with a t-test will test for a positive correlation between your measure of connectivity and your third predictor variable. A contrast of [0 0 -1] with a t-test will test for a negative correlation. Finally, a contrast of [0 0 1] with a F-test will test for any correlation, both positive and negative (Based on your email, it seems this is what you want). So you have three options: [0 0 1] with t-test, [0 0 -1] with t-test or [0 0 1] with F-test.

3. The "One Sample" test is not relevant for your statistical design.

4. If your two predictor variables are highly correlated, you may want to consider removing one of the variables. There are other options to deal with correlated predictors.


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Lorna Garcia Penton Jan 31, 2013
Andrew Zalesky Jan 31, 2013
jules_ozark Jan 12, 2022
RE: correlation analysis
Andrew Zalesky Jan 13, 2022
Lorna Garcia Penton Feb 1, 2013