Table 3.
Model fits for Machine and Human word recognition rate (WRR; RQ1).
| Model for Machine WRR and Human WRR | df | F | r 2 |
|---|---|---|---|
| Linear | 70 | 226.37 | .76 |
| Quadratic | 69 | 207.39 | .85 |
Note. Degrees of freedom (df), F-statistic (F), and adjusted r 2 for linear and quadratic models fit to Machine WRR (response variable) and Human WRR (predictor). p < .0001 for both models, with heteroskedasticity correction for the quadratic model. An analysis of variance comparing the two models showed a statistically significant difference between models, F(1) = 45.26, p < .001.