Table 4. F-tests for the Generalized Mixed Models Using Item, Concreteness, Repetition, and Strategy recall to predict Logit-transformed Recognition Accuracy.
| Recognition Accuracy | ||||||
|---|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | ||||
| F | df | F | df | F | df | |
| Item | 1.34* | 72, 2138 | 1.29 | 72, 2137 | 1.23 | 72, 2138 |
| Concreteness | 71.69** | 1, 2150 | 68.15* | 1, 2148 | 62.56** | 1, 2148 |
| Repetition | 95.32** | 1, 2157 | 77.13* | 1, 2156 | 62.49** | 1, 2157 |
| Concreteness X Repetition | 4.63* | 1, 2137 | 4.12* | 1, 2136 | 3.45 | 1, 2136 |
| FOK (item level) | - | - | 9.71* | 1, 2143 | 2.13 | 1, 2143 |
| FOK (participant level) | - | - | 0.06 | 1, 35.5 | 0.07 | 1, 34 |
| Strategy recall (participant mean centered) | - | - | - | - | 12.07* | 1, 2141 |
| Strategy recall (grand mean centered) | - | - | - | - | 10.67* | 1, 42.2 |
Note.
*
p < .05
**
p < .001