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Table 6 Logistic regression estimates in logits

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 − 1.410*** (0.015) − 0.889*** (0.039) − 1.002*** (0.043)
Female − 0.583*** (0.021) 0.124*** (0.025) − 0.092** (0.045)
Nonwhite − 0.142*** (0.024) 0.092*** (0.025) 0.092*** (0.025)
First generation 0.160*** (0.028) 0.300*** (0.029) 0.301*** (0.029)
Financial aid recipient − 0.565*** (0.020) 0.049** (0.023) 0.049** (0.023)
Credits at entry − 0.119*** (0.013) − 0.241*** (0.016) − 0.241*** (0.016)
HS GPA −  0.385*** (0.010) − 0.564*** (0.011) − 0.564*** (0.011)
ACT − 0.274*** (0.012) − 0.231*** (0.013) − 0.232*** (0.013)
LA exposure*female    0.297*** (0.052)
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 < 0.1; **p < 0.05; ***p < 0.01