Bayesian t-tests vs Anovas in within-subject designs (2 conditions)
I am very enthusiastic about Bayes Factors and Jasp, but there's one thing that troubles me.
Let's assume I have two groups in a within-subject design. So I am testing the simplest model possible - a single factor with 2 levels - against the null model. Shouldn't I get the same Bayes Factor with the Bayesian t-test and the Bayesian one-way ANOVA?
I tried it out for a dataset with a non-significant difference between conditions. With paired Bayesian t-tests in Jasp (version 0.7.5.5), I get BF01 = 2.274
Bayesian Paired Samples T-Test
BF₀₁ error %
b - a 2.274 1.578e -5
Why am I not able to spot this number in the output of the one-way Bayesian Anova?
Model Comparison - dependent
Models P(M) P(M|data) BF M BF₀₁ % error
Null model (incl. subject) 0.500 0.637 1.758 1.000
RM Factor 1 0.500 0.363 0.569 1.758 1.442
Note. All models include subject.
Analysis of Effects - dependent
Effects P(incl) P(incl|data) BF Inclusion
RM Factor 1 0.500 0.363 0.569
I have the feeling that I am missing something obvious. But what?