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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