Bayes Test for Partial Correlations
Dear Professor Wagenmakers,
We are writing with a question concerning Bayesian tests for correlations in JASP.
Is there a possibility to calculate Bayesian Factors for partial correlations in JASP?
We are interested in the association between (a) intelligence and (b) brain network efficiency and would like to control for three other variables when testing their association.
We realized that it makes a difference, whether we test the simple association of the two variables of interest with the Bayesian Test for Correlated Pairs or Linear Regression. We tried to get to the bottom of it by comparing prior values. While we understand that Correlated Pairs uses a default beta prior with width 1, we did not find information on the default prior for Linear Regression.
You would very much help us, if you could answer the following questions.
a) Is there an option to directly calculate BF for partial correlations?
b) If not, is there some workaround by using Linear Regression or something similar?
c) Can we see the default priors for Linear Regression in the programme?
d) If there is some other solution to our problem that is not covered by our questions, we are of course grateful for a hint! ☺
We find your programme very helpful and would be happy, if we could use JASP for our purpose.
Ulrike & Kirsten