Table 2.
Regression model results.
| Covariate | Disability identification (logistic regression odds ratios) | Self-efficacy (linear regression coefficients) | ||
|---|---|---|---|---|
| “You can handle most things that come your way” | “You know how to get information you need” | “You can get school staff and other adults to listen to you” | ||
| STEM major | 0.7 | −0.3* | 0.1 | 0.0 |
| Male | 0.5 | 0.4! | −0.3* | −0.1 |
| Race | ||||
| White | Reference | Reference | Reference | Reference |
| Black | 0.1* | −0.1 | −0.1 | −0.5** |
| Other race | 0.9 | −0.2 | −0.3 | −0.1 |
| Parent or guardian household income ($10 K increments) | 1.0 | 0 | 0 | 0 |
| Conversation ability | 0.6 | 0.3* | 0.3** | 0.1 |
| Functional skills scale | 0.9! | 0.0 | 0.0 | 0.0 |
| “You can handle most things that come your way” | 0.6 | |||
| “You know how to get information you need” | 0.5 | |||
| “You can get school staff and other adults to listen to you” | 1.9 | |||
| Disability identification | −0.1 | −0.1 | 0.1 | |
! P < 0.10, *P < 0.05, **P < 0.01.
Source: National Longitudinal Transition Study 2.
Notes: number of multiply imputed data sets = 50. Weighted to population levels. Variances adjusted for sampling method.