Table 1.
Predictor estimates with standard errors and significance information for a logistic mixed-effects model predicting word learning in Experiment 1. The model was specified as Correct ~ Log(Referents) * TrialType + Log(Interval) * TrialType + offset(logit(1/Referents)) + (TrialType | subject).
| Predictor | Estimate | Std. Error | z value | p value |
|---|---|---|---|---|
| Intercept | 4.31 | 0.28 | 15.18 | <.001 *** |
| Log(Referents) | 0.17 | 0.10 | 1.66 | 0.10 . |
| Log(Interval) | −0.68 | 0.07 | −9.72 | <.001 *** |
| Switch Trial | −2.16 | 0.30 | −7.22 | <.001 *** |
| Log(Referents)*Switch Trial | −0.68 | 0.11 | −6.20 | <.001 *** |
| Log(Interval)*Switch Trial | 0.54 | 0.07 | 7.34 | <.001 *** |