TABLE 5.
Summary of linear regression model exploring the relationship between the type of data students analyzed and their post-CURE intent to pursue a science-related research careera.
| Variable | Pursue a career in science | |||
|---|---|---|---|---|
| B | SE B | β | p | |
| Intercept | 0.3 | 1.9 | 0.87 | |
| Type of data analyzed (own) | 0.4 | 0.5 | 0.1 | 0.49 |
| Intention to pursue research career pre-CURE | 0.6 | 0.1 | 0.6 | <0.001 |
| Scientific self-efficacy post- score | −0.0 | 0.1 | −0.0 | 0.93 |
| Scientific identity post- score | 0.2 | 0.1 | 0.3 | 0.02 |
| Scientific community values post- score | −0.1 | 0.1 | −0.1 | 0.28 |
| Adjusted R2 | 0.52 | |||
a
B represents unstandardized coefficients and β represents standardized coefficients. In the analysis we controlled for students’ pre-CURE intent as well as their scientific self-efficacy, scientific identity, and scientific community value scores. Focus categories are shown in parentheses in column 1.