Table 2. Results of Bayes factor analysis with fixed factors cue (cued, non-cued), and lateralization (“good trials with strong correlation”, “good trials with mild correlation”, “weak trials with mild correlation”, “weak trials with strong correlation”) against the null model parameter ∼ID, with ID as random factor.
BF10 represents evidence in favor of H1 over H0, whereas BF01 represents evidence in favor of H0 over H1 (i.e., BF01 = 1/BF10).
| Parameter | Model | Bayes factor |
|---|---|---|
| κ | κ ∼ cue + id | BF10 = 2,050,467 |
| κ ∼ lat. + id | BF01 = 66.64 | |
| κ ∼ cue + lat. + id | BF10 = 30,400.29 | |
| κ ∼ cue + lat. + cue:lat. + id | BF10 = 1,272.554 | |
| g | g ∼ cue + id | BF10 = 3.39 |
| g ∼ lat. + id | BF01 = 25.37 | |
| g ∼ cue + lat. + id | BF01 = 7.66 | |
| g ∼ cue + lat. + cue:lat. + id | BF01 = 113.08 | |
| μ | μ ∼ cue + id | BF01 = 6.36 |
| μ ∼ lat. + id | BF01 = 8.40 | |
| μ ∼ cue + lat. + id | BF01 = 53.77 | |
| μ ∼ cue + lat. + cue:lat. + id | BF01 = 1,357.97 |