Include covariate in within-subject contrast (Bayesian approach)
I have conducted a within-subject experiment and used Bayesian paired t-tests to analyze the results. As a robustness check I want to control for covariates that differed between conditions. I tried:
- Paired t-test module: does not allow for covariates
- Repeated measures module: treats covariates as continuous predictors, not control variables
- GLM module (run on difference scores): does not yield a BF for the intercept (fixes it to 1.00)
Is there a solution that I overlooked? Thanks!
Comments
Repeated measures ANOVA, then add covariates?
I am not sure what you mean with the difference between "continuous predictors" vs. "control variables" -- could you elaborate?
EJ