Table 3. Logit Regression results for predicting medical students' self-reported empathy.
Logit Regression | B | S.E. | χ2 wald (1) | pa) | Exp(B) | CI 95% Exp(B) |
Panel A | ||||||
UBI | −.625 | .254 | 6.063 | .014 | .535 | [.325;.880] |
UAlg | .660 | .444 | 2.210 | .137 | 1.935 | [.811; 4.619] |
Gender | −.781 | .241 | 10.493 | .001 | .458 | [.285; .735] |
Age | −.003 | .031 | .011 | .917 | .997 | [.939; 1.059] |
Pseudo-R2 (Nagelkerke) | .064 | |||||
χ2 (4) | 22.25*** | |||||
AIC | 445.69 | |||||
BIC | 468.47 | |||||
Panel B | ||||||
UBI | −.680 | .275 | 6.118 | .013 | .507 | [.296;.868] |
UAlg | .736 | .476 | 2.391 | .122 | 2.087 | [.821;5.301] |
Gender | −.494 | .287 | 2.959 | .085 | .610 | [.348;1.071] |
Age | −.041 | .033 | 1.549 | .213 | .959 | [.899;1.024] |
Neuroticism | .015 | .020 | .549 | .459 | 1.015 | [.976;1.055] |
Extraversion | .028 | .024 | 1.317 | .251 | 1.028 | [.980;1.078] |
Openess | .073 | .024 | 8.984 | .003 | 1.076 | [1.026;1.129] |
Agreablenes | .089 | .029 | 9.794 | .002 | 1.094 | [1.034;1.157] |
Conscientiousness | .026 | .023 | 1.258 | .262 | 1.026 | [.981;1.074] |
Pseudo-R2 (Nagelkerke) | .168 | |||||
χ2 (9) | 59.59*** | |||||
AIC | 417.66 | |||||
BIC | 459.42 |
p = p-value; N = 329;
*** p<.001.