Table 2.
Generalized linear mixed-effects model for Correct Rejections (unseen objects) as predicted by Cumulative Interference (continuous, from to 0 to 1) and Visual Similarity (continuous, from 0 to 1 and introduced in the model only for unseen objects). The random variables introduced as intercept and slopes were Participant (71), Semantic Category (27) and Recognition Order (1, 2)
| Dependent variable | Predictor | β | Std. β | CI (2.5%; 97.5%) |
SE | z-value |
|---|---|---|---|---|---|---|
| Correct rejections | Intercept | 2.18 | 0 | 1.71; 2.64 | 0.23 | 9.2*** |
| Cumulative Interference | -1.39 | -0.88 | -2.02; -0.77 | 0.31 | -4.4*** | |
| Visual Similarity | -2.1 | -0.79 | -2.74; -1.39 | 0.34 | -6*** | |
| Cumulative Interference x Visual Similarity | 2.71 | 1.03 | 1.74; 3.67 | 0.49 | 5.5*** |
The final model formula in Wilkson notation, resulting from stepwise backward selection is:
‘Correct rejections ~ Cumulative Interference + Visual Similarity + Cumulative Interference x Visual Similarity + (0 + Cumulative Interference | Semantic Category) + (0 + Visual Similarity | Semantic Category) + (1 | Semantic Category) + (1 | Recognition Order) + (1 | Participant) ’
*** p < .001, ** p < .01 * p < .05