Table 4. Bayes factor (BF10) in Bayesian ANOVA analyses of children’s activation to words versus fixation.
| ROIs | Main effect of language | Main effect of reading ability | Interaction | Post-hoc analyses | |||
|---|---|---|---|---|---|---|---|
| Typical readers (Chinese vs. French) |
Poor readers (Chinese vs. French) |
Chinese children (typical vs. poor readers) |
French children (typical vs. poor readers) |
||||
| FFG | 0.216 | 1528.966 | 0.313 | 0.227 | 0.337 | 13.577 | 93.163 |
| MFG | 80.211 | 9.948 | 0.305 | 2.837 | 309.651 | 1.616 | 29.351 |
| STS | 0.220 | 37.507 | 0.309 | 0.387 | 0.259 | 6.933 | 5.076 |
| PCG | 1.532 | 5.625 | 0.275 | 1.782 | 1.075 | 2.662 | 2.661 |
| SPL | 7.052 | 0.562 | 0.323 | 4.486 | 1.782 | 0.822 | 0.332 |
| pSTG | 9.908 | 0.289 | 1.054 | 0.616 | 74.014 | 0.215 | 23.744 |
The value of Bayes factor BF10 means that data are n times more likely under alternative hypothesis (H1) than null hypothesis (H0). The alternative hypothesis in comparisons between typical and poor readers is group 1 (typical) > group2 (poor); the alternative hypothesis in comparisons between languages is group 1 (Chinese) > group2 (French).