Table 4.
Effect of repetition benefit on postrepetition items: Summary of linear mixed-effects final models for performance accuracy and reaction time.
| Variable | Coefficient or variancea (SE) | z | p | 95% CI |
|---|---|---|---|---|
| Accuracy | ||||
| Fixed effects | ||||
| Intercept | 0.084 (0.023) | 3.58 | <.001 | [0.038, 0.129] |
| Baseline | −0.01 (0.043) | −0.23 | .82 | [−0.093, 0.074] |
| Rep-benefit (ACC) | −0.015 (0.068) | −0.23 | .821 | [−0.149, 0.118] |
| Rep-benefit2 (ACC) | −0.794 (0.262) | −3.03 | .002 | [−1.309, −0.28] |
| NV IQ | 0 (0.002) | 0.21 | .836 | [−0.003, 0.004] |
| Vocab | −0.001 (0.001) | −1.05 | .293 | [−0.002, 0.001] |
| SLI | −0.149 (0.035) | −4.28 | <.001 | [−0.217, −0.081] |
| TLD-L | −0.122 (0.034) | −3.61 | <.001 | [−0.188, −0.056] |
| SLI × Rep-Benefit2 | −1.426 (0.596) | −2.39 | .017 | [−2.595, −0.257] |
| Variance components | ||||
| Intercept | 0.0041 (0.0015) | [0.002, 0.0082] | ||
| Residual | 0.0157 (0.0016) | [0.0129, 0.0192] | ||
|
| ||||
| Reaction time (ms) | ||||
| Fixed effects | ||||
| Intercept | 54.367 (18.59) | 2.92 | .003 | [17.914, 90.821] |
| Baseline | 0.051 (0.037) | 1.37 | .172 | [−0.022, 0.123] |
| Rep-benefit (RT) | −0.026 (0.093) | −0.28 | .78 | [−0.208, 0.156] |
| Rep-benefit2 (RT) | 0.001 (0) | 2.9 | .004 | [0, 0.001] |
| NV IQ | −2.642 (2.566) | −1.03 | .303 | [−7.672, 2.388] |
| Vocab | −0.03 (1.037) | −0.03 | .977 | [−2.062, 2.002] |
| SLI × Rep-Benefit | −0.298 (0.139) | −2.15 | .031 | [−0.57, −0.027] |
| SLI × Rep-Benefit2 | −0.001 (0) | −3.65 | <.001 | [−0.002, −0.001] |
| TLD-L × Rep-Benefit2 | −0.001 (0) | −2.13 | .033 | [−0.001, 0] |
| Variance components | ||||
| Intercept | 8,436.4 (3,641.9) | [3619.9, 19661.4] | ||
| Residual | 43,945.5 (4,444.5) | [36043.4, 53580] | ||
Note. Rep-benefit = repetition benefit; Rep-benefit2 = repetition benefit squared.
a
For fixed effects, the data given are coefficients; for variance components, variance.