Coefficients for logistic regression model of STEM degree attainment using the three-level student race/ethnicity variable.
Term . | Estimate . | P-value . | 95% Adj. . |
---|---|---|---|
. | (SE) . | . | CI . |
Intercept | 3.172 (0.031) | <0.001 | (2.998, 3.355) |
HS GPA | 1.078 (0.015) | <0.001 | (1.048, 1.109) |
ACT | 0.917 (0.012) | <0.001 | (0.896, 0.938) |
No STEM intent | 0.052 (0.027) | <0.001 | (0.050, 0.055) |
DFW count | 0.472 (0.028) | <0.001 | (0.448, 0.496) |
Female | 0.658 (0.027) | <0.001 | (0.626, 0.691) |
Asian | 1.026 (0.065) | 0.692 | |
URM | 0.636 (0.057) | <0.001 | (0.574, 0.706) |
Female and Asian | 1.190 (0.095) | 0.068 | |
Female and URM | 1.177 (0.076) | 0.032 | |
Female and DFWs | 1.084 (0.043) | 0.063 | |
Asian and DFWs | 1.030 (0.079) | 0.709 | |
URM and DFWs | 0.870 (0.065) | 0.033 | (0.773, 0.979) |
University A | 0.122 (0.033) | <0.001 | |
University B | 0.476 (0.036) | <0.001 | |
University C | 1.283 (0.046) | <0.001 | |
University E | 0.193 (0.042) | <0.001 | |
University F | 0.467 (0.048) | <0.001 |
Term . | Estimate . | P-value . | 95% Adj. . |
---|---|---|---|
. | (SE) . | . | CI . |
Intercept | 3.172 (0.031) | <0.001 | (2.998, 3.355) |
HS GPA | 1.078 (0.015) | <0.001 | (1.048, 1.109) |
ACT | 0.917 (0.012) | <0.001 | (0.896, 0.938) |
No STEM intent | 0.052 (0.027) | <0.001 | (0.050, 0.055) |
DFW count | 0.472 (0.028) | <0.001 | (0.448, 0.496) |
Female | 0.658 (0.027) | <0.001 | (0.626, 0.691) |
Asian | 1.026 (0.065) | 0.692 | |
URM | 0.636 (0.057) | <0.001 | (0.574, 0.706) |
Female and Asian | 1.190 (0.095) | 0.068 | |
Female and URM | 1.177 (0.076) | 0.032 | |
Female and DFWs | 1.084 (0.043) | 0.063 | |
Asian and DFWs | 1.030 (0.079) | 0.709 | |
URM and DFWs | 0.870 (0.065) | 0.033 | (0.773, 0.979) |
University A | 0.122 (0.033) | <0.001 | |
University B | 0.476 (0.036) | <0.001 | |
University C | 1.283 (0.046) | <0.001 | |
University E | 0.193 (0.042) | <0.001 | |
University F | 0.467 (0.048) | <0.001 |
Coefficients for logistic regression model of STEM degree attainment using the three-level student race/ethnicity variable.
Term . | Estimate . | P-value . | 95% Adj. . |
---|---|---|---|
. | (SE) . | . | CI . |
Intercept | 3.172 (0.031) | <0.001 | (2.998, 3.355) |
HS GPA | 1.078 (0.015) | <0.001 | (1.048, 1.109) |
ACT | 0.917 (0.012) | <0.001 | (0.896, 0.938) |
No STEM intent | 0.052 (0.027) | <0.001 | (0.050, 0.055) |
DFW count | 0.472 (0.028) | <0.001 | (0.448, 0.496) |
Female | 0.658 (0.027) | <0.001 | (0.626, 0.691) |
Asian | 1.026 (0.065) | 0.692 | |
URM | 0.636 (0.057) | <0.001 | (0.574, 0.706) |
Female and Asian | 1.190 (0.095) | 0.068 | |
Female and URM | 1.177 (0.076) | 0.032 | |
Female and DFWs | 1.084 (0.043) | 0.063 | |
Asian and DFWs | 1.030 (0.079) | 0.709 | |
URM and DFWs | 0.870 (0.065) | 0.033 | (0.773, 0.979) |
University A | 0.122 (0.033) | <0.001 | |
University B | 0.476 (0.036) | <0.001 | |
University C | 1.283 (0.046) | <0.001 | |
University E | 0.193 (0.042) | <0.001 | |
University F | 0.467 (0.048) | <0.001 |
Term . | Estimate . | P-value . | 95% Adj. . |
---|---|---|---|
. | (SE) . | . | CI . |
Intercept | 3.172 (0.031) | <0.001 | (2.998, 3.355) |
HS GPA | 1.078 (0.015) | <0.001 | (1.048, 1.109) |
ACT | 0.917 (0.012) | <0.001 | (0.896, 0.938) |
No STEM intent | 0.052 (0.027) | <0.001 | (0.050, 0.055) |
DFW count | 0.472 (0.028) | <0.001 | (0.448, 0.496) |
Female | 0.658 (0.027) | <0.001 | (0.626, 0.691) |
Asian | 1.026 (0.065) | 0.692 | |
URM | 0.636 (0.057) | <0.001 | (0.574, 0.706) |
Female and Asian | 1.190 (0.095) | 0.068 | |
Female and URM | 1.177 (0.076) | 0.032 | |
Female and DFWs | 1.084 (0.043) | 0.063 | |
Asian and DFWs | 1.030 (0.079) | 0.709 | |
URM and DFWs | 0.870 (0.065) | 0.033 | (0.773, 0.979) |
University A | 0.122 (0.033) | <0.001 | |
University B | 0.476 (0.036) | <0.001 | |
University C | 1.283 (0.046) | <0.001 | |
University E | 0.193 (0.042) | <0.001 | |
University F | 0.467 (0.048) | <0.001 |
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