Table 2.
Predictor estimates with standard errors and significance information for a logistic mixed-effects model predicting word learning in Experiment 2. The model was specified as Correct ~ Log(Referents) + Log(Interval) * TrialType + offset(logit(1/Referents)) + (TrialType | subject).
| Predictor | Estimate | Std. Error | z value | p value |
|---|---|---|---|---|
| Intercept | 3.42 | 0.21 | 16.10 | <.001 *** |
| Log(Referents) | 0.32 | 0.06 | 5.52 | <.001 *** |
| Log(Interval) | −0.60 | 0.07 | −8.22 | <.001 *** |
| New Label Trial | −4.49 | 0.19 | −23.52 | <.001 *** |
| Log(Interval)*New Label Trial | 0.58 | 0.08 | 6.89 | <.001 *** |