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. 2022 Sep 28;1(4):pgac167. doi: 10.1093/pnasnexus/pgac167

Table 4.

Coefficients for logistic regression model of STEM degree attainment using the five-level student race/ethnicity variable.

Term Estimate P-value 95% Adj.
(SE) CI
Intercept 3.161 (0.031) <0.001 (2.972, 3.361)
HS GPA 1.078 (0.015) <0.001 (1.045, 1.111)
ACT 0.916 (0.012) <0.001 (0.893, 0.939)
No STEM intent 0.052 (0.027) <0.001 (0.050, 0.055)
DFW count 0.472 (0.028) <0.001 (0.446, 0.499)
Female 0.657 (0.027) <0.001 (0.622, 0.694)
Asian 1.025 (0.065) 0.700
Black 0.554 (0.104) <0.001 (0.451, 0.681)
Hispanic/Latinx 0.674 (0.070) <0.001 (0.587, 0.775)
Native American 0.638 (0.198) 0.023 (0.431, 0.945)
Female and Asian 1.190 (0.095) 0.068
Female and Black 1.241 (0.129) 0.094
Female and Hispanic/Latinx 1.204 (0.097) 0.055
Female and Native American 1.006 (0.262) 0.981
Female and DFWs 1.085 (0.043) 0.060
Asian and DFWs 1.030 (0.079) 0.708
Black and DFWs 0.831 (0.110) 0.092
Hispanic/Latinx and DFWs 0.907 (0.082) 0.233
Native American and DFWs 0.838 (0.217) 0.416
University A 0.123 (0.033) <0.001
University B 0.476 (0.036) <0.001
University C 1.297 (0.047) <0.001
University E 0.195 (0.042) <0.001
University F 0.470 (0.049) <0.001