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Table 5 Logistic regression estimates in odds ratios with confidence intervals

From: A logistic regression investigation of the relationship between the Learning Assistant model and failure rates in introductory STEM courses

  Dependent variable
Failed (= 1)
(1) (2) (3)
LA exposure 0.244*** (0.237, 0.251) 0.411*** (0.381, 0.443) 0.367*** (0.337, 0.400)
Female 0.558*** (0.536, 0.581) 1.132*** (1.079, 1.188) 0.912* (0.835, 0.997)
Nonwhite 0.868*** (0.828, 0.909) 1.096*** (1.043, 1.152) 1.096*** (1.043, 1.151)
First generation 1.173*** (1.110, 1.240) 1.350*** (1.275, 1.428) 1.351*** (1.277, 1.430)
Financial aid recipient 0.568*** (0.547, 0.590) 1.050* (1.004, 1.098) 1.050* (1.004, 1.098)
Credits at entry 0.888*** (0.865, 0.911) 0.786*** (0.762, 0.811) 0.786*** (0.761, 0.810)
HS GPA 0.681*** (0.667, 0.694) 0.569*** (0.557, 0.582) 0.569*** (0.557. 0.582)
ACT 0.760*** (0.742, 0.778) 0.794* (0.773, 0.814) 0.793*** (0.773, 0.814)
LA exposure-female interaction    1.346*** (1.215, 1.491)
Observations 75,563 75,563 75,563
Log likelihood − 32,462.050 − 28,672.970 − 28,656.720
Akaike Inf. Crit. 64,940.100 57,949.940 57,919.430
  1. Models 2–3 suppress course, cohort, and instructor factor variables
  2. Note: *p < 0.05; **p < 0.01; ***p < 0.001