Table 4.
Regression analyses predicting NAT score and error types.
| R2 | F | p | df | β | t | |
|---|---|---|---|---|---|---|
| NAT score | 0.533 | 16.18 | < 0.001 | 5,76 | ||
| Predictor | ||||||
| CDR | –0.439 | –4.243 | ||||
| Segmentation agreement | 0.200 | 2.009 | ||||
| Working memory | 0.087 | 0.638 | ||||
| Semantic memory | 0.085 | 0.624 | ||||
| Script knowledge | 0.101 | 0.978 | ||||
| Omission errors | 0.419 | 10.22 | < 0.001 | 5,76 | ||
| Predictor | ||||||
| CDR | 0.389 | 3.374 | ||||
| Segmentation agreement | –0.276 | –2.484 | ||||
| Working memory | –0.153 | –1.003 | ||||
| Semantic memory | –0.003 | –0.019 | ||||
| Script knowledge | 0.035 | 0.305 | ||||
| Commission errors | 0.121 | 1.95 | 0.097 | 5,76 | ||
| Predictor | ||||||
| CDR | 0.223 | 1.574 | ||||
| Segmentation agreement | –0.088 | –0.645 | ||||
| Working memory | –0.196 | –1.044 | ||||
| Semantic memory | 0.082 | 0.439 | ||||
| Script knowledge | 0.021 | 0.151 | ||||
| Action additions | 0.185 | 3.22 | 0.011 | 5,76 | ||
| Predictor | ||||||
| CDR | –0.112 | –0.818 | ||||
| Segmentation agreement | –0.276 | –0.270 | ||||
| Working memory | –0.250 | –1.378 | ||||
| Semantic memory | –0.195 | –1.082 | ||||
| Script knowledge | –0.088 | –0.646 |
Note: Composite variables created by averaging z scores for variables representing each construct. Bolded values are significant at the p < 0.05 level.