Table 3.
Regression Model for Span Error Rate
| Predictor | Coefficient | SE | p value |
|---|---|---|---|
| (Intercept) | −1.347 | 0.115 | < .001 |
| Group | |||
| 22q | 0.215 | 0.092 | .02 |
| Gender | |||
| Female | −0.084 | 0.098 | .39 |
| Age | |||
| Age | −0.003 | 0.002 | .13 |
| Version | |||
| NT | −0.413 | 0.093 | < .001 |
| Load | |||
| Load3 | 0.046 | 0.109 | .67 |
| Load4 | 0.486 | 0.109 | < .001 |
| Load5 | 0.506 | 0.109 | < .001 |
| Delay | |||
| DelayLong | −0.037 | 0.044 | .41 |
| Group * Load | |||
| 22q * Load3 | 0.019 | 0.089 | .83 |
| 22q * Load4 | 0.206 | 0.089 | .02 |
| 22q * Load5 | 0.206 | 0.089 | .02 |
| Gender * Load | |||
| Female * Load3 | 0.108 | 0.089 | .23 |
| Female * Load4 | −0.035 | 0.089 | .70 |
| Female * Load5 | 0.225 | 0.089 | .01 |
| Gender * Delay | |||
| Female * DelayLong | 0.137 | 0.063 | .03 |
| Age * Load | |||
| Age * Load3 | 0.000 | 0.002 | .94 |
| Age * Load4 | −0.004 | 0.002 | .02 |
| Age * Load5 | −0.005 | 0.002 | .01 |
| Version * Load | |||
| NT * Load3 | 0.043 | 0.089 | .63 |
| NT * Load4 | −0.043 | 0.089 | .63 |
| NT * Load5 | 0.067 | 0.089 | .46 |