TABLE 4.
Parameter estimates and significance tests for the generalized mixed model for learning outcomes in experiment 2.
| Fixed effects | ||
| Predictors | Estimate | SE |
| (Intercept) | −0.65*** | 0.16 |
| Learning condition | −0.05 | 0.09 |
| Retention interval | −0.13** | 0.04 |
| Prior knowledge (z-standardized) | 0.61*** | 0.11 |
| Domain | −0.46** | 0.17 |
| Learning condition x Retention interval | 0.08+ | 0.04 |
|
| ||
| Random effects | ||
|
| ||
| σ2 | 3.29 | |
| τ00 | 0.32 ID | |
| 1.43 Item | ||
|
| ||
| Goodness of fit | ||
|
| ||
| Deviance | 4157.23 | |
Learning condition (contrast-coded: distributed = 1, massed = -1). Retention interval (contrast-coded: immediate = -1, delayed = 1). Domain (contrast-coded: biology = -1, physics = 1). Prior knowledge was included z-standardized. Directional hypotheses were tested one-tailed.
**p < 0.01 (two-tailed). ***p < 0.001 (two-tailed).
+p < 0.05 (one-tailed).