Table 7. Summary of the Generalized Linear Mixed-Effects Model of (Log Odds) Accuracy Scores on the Vocabulary Test for the No Markers Group.
| Wald confidence intervals | ||||||
|---|---|---|---|---|---|---|
| Fixed effects | Estimated coefficient | SE | 2.50% | 97.50% | z | Pr (>|z|) |
| Note. 372 observations (nouns: 186, verbs: 186; consistent: 188; inconsistent: 184), 48 participants, 48 trials. R syntax for the final model is: aw_vocabNO_F <− glmer (accuracy ∼ (1|Subject) + (1|target) + (1|lang_v) + (1|trial), data = a2_vocab_NO_F, family = binomial, control = glmerControl (optimizer = “Bobyqa”, optCtrl = list(maxfun = 100000))). | ||||||
| (Intercept) | .7911 | .1852 | .4280 | 1.1542 | 4.27 | 1.95 × 10−5 |
| Random effects | Variance | Std. Dev. | ||||
| Subject (Intercept) | .2738 | .5232 | ||||
| Target (Intercept) | .0000 | .0000 | ||||
| Trial (Intercept) | .1363 | .3692 | ||||
| Lang_v (Intercept) | .0000 | .0000 | ||||
| AIC | BIC | LogLik | Deviance | |||
| 493.0 | 520.5 | −239.5 | 479.0 | |||