Table 8:
Predictor | β (coefficient) | SE | z value | p value | ΔR2 |
---|---|---|---|---|---|
Dependent variable: Letter-Word Identification (adj-R2=47%) | |||||
O-P REG | 4.55 | 0.30 | 15.24 | <.001 | 34% |
IMG | −0.97 | 0.31 | −3.17 | .002 | |
Vocabulary | 1.79 | 0.31 | 5.81 | <.001 | 5% |
Dependent variable: Word Attack (adj-R2=48%) | |||||
O-P REG | 3.63 | 0.24 | 15.05 | <.001 | 36% |
IMG | −1.29 | 0.25 | −5.24 | <.001 | |
Vocabulary | 1.30 | 0.25 | 5.22 | <.001 | 4% |
Dependent variable: Passage Comprehension (adj-R2=49%) | |||||
O-P REG | 2.32 | 0.20 | 11.65 | <.001 | 20% |
IMG | −0.53 | 0.20 | −2.60 | .009 | |
Vocabulary | 2.33 | 0.21 | 11.31 | <.001 | 17% |
Notes: IMG: imageability; O-P REG: O-P regularity (surprisal); FREQ: Frequency. ΔR2 values are the difference in R2 between the full model and a partial model that includes only the relevant predictor(s).