Table 3.
Bayesian Independent Samples T-Test | ||
---|---|---|
B01 | error (%) | |
Interaction score raw data | 6.691 | ~1.596e−4 |
β1 | 1.447 | ~1.751e−4 |
β2 | 1.838 | ~1.651e−4 |
α1 | 11.172 | ~4.376e−6 |
α2 | 4.290 | ~1.448e−4 |
λ | 5.395 | ~1.489e−4 |
ω | 5.933 | ~1.528e−4 |
ρ | 7.781 | ~1.727e−4 |
In the table, we show evidence in favor of the null hypothesis. By convention, a Bayes factor > 3 indicates evidence in favor of the hypothesis (Kass and Raftery, 1995). The Bayes Factor is interpretable as an Odds Ratio: for example, it is more than six times more likely that the data occurred under the null hypothesis that interaction of reward and state does not differ between groups than under the alternative hypothesis of a difference between groups.