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Table 2 Results of binary logistic regression model (remained vs eliminated)

From: Motivation matters: predicting students’ career decidedness and intention to drop out after the first year in higher education

   95% CI for odds ratio
B (SE) Lower Odds ratio Upper
Remained vs eliminated
Intercept 1.36 (0.66)*    
Age − 0.02 (0.02) 0.94 0.99 1.03
Gender − 0.33 (0.16)* 0.52 0.72 0.99
GPA − 0.29 (0.14)* 0.57 0.75 0.98
Intention to drop out − 0.16 (0.12) 0.68 0.85 1.07
  1. R2 = .01 (Hosmer & Lemeshow), .01 (Cox & Snell), .02 (Nagelkerke). Model χ2(4) = 11.33, p < .05, * p < .05