Using BF to test null effect on repeated-measures model
Hi all, thanks in advance!
I'm very new to JASP and I'm quite inexperienced in Bayesian thinking. Please, could you help me with this problem I have?
I have a within-subjects repeated-measures dataset with 32 participants who took part in a behavioural experiment. The model contains two factors: emotion (fear, happiness, and neutral), and exposure times (7 exposures in total). The dependent variable is accuracy (%).
I found no main effect of emotion in a RM ANOVA, but as we all know, no main effect in a frequentist analysis doesn't really provide evidence for null effect. How can I test this in JASP with Bayes Factors? Should I use Bayes t-tests and compare the 3 levels of the factor of interest for every exposure time? I'm not interested in the exposure times, only in the emotion factor.
Thanks in advance!!
Comments
Dear JLeborgne,
You could start by looking at the examples discussed in this paper: https://link.springer.com/article/10.3758/s13423-017-1323-7
Cheers,
E.J.