Table A2.
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) * Target + Log(Referents) * Competitor + offset(logit(1/Referents)) + (TrialType | subject).
| Predictor | Estimate | Std. Error | z value | p value |
|---|---|---|---|---|
| Intercept | 3.27 | 0.45 | 7.27 | <.001 *** |
| Log(Referents) | −0.48 | 0.37 | −1.32 | 0.19 |
| Switch Target | −0.92 | 0.42 | −2.17 | 0.03 * |
| Switch Competitor | −1.77 | 0.40 | −4.40 | <.001 *** |
| Log(Referents)*Switch Target | −0.75 | 0.36 | −2.07 | 0.04 * |
| Log(Referents)*Switch Competitor | 1.30 | 0.34 | 3.76 | <.001 *** |