Table 2 Regression and dominance analyses for overall, cognitive and affective empathy

From: Trait Autism is a Better Predictor of Empathy than Alexithymia

Predictor β t p sr 2 GDW
(i) Overall empathy—F(3, 302) = 39.22, R2 = 0.28, p < .001
 Sex (1 = male, 0 = female) − .18 − 3.64 < .001 0.042 0.050
 Autism − .34 − 6.26 < .001 0.115 0.147
 Alexithymia − .19 − 3.33 .001 0.035 0.084
(ii) Cognitive empathy—F(4, 301) = 65.99, R2 = 0.47, p < .001
 Affective empathy .46 9.66 < .001 0.236 0.199
 Sex .17 3.60 < .001 0.041 0.014
 Autism − .28 − 5.82 < .001 0.101 0.143
 Alexithymia − .26 − 5.49 < .001 0.091 0.053
(iii) Affective empathy—F(4, 301) = 50.08, R2 = 0.40, p < .001
 Cognitive empathy .52 9.66 < .001 0.236 0.212
 Sex − .38 − 8.34 < .001 0.187 0.148
 Autism − .004 − 0.08 .94 0.00003 0.025
 Alexithymia .13 2.48 .014 0.020 0.014
  1. Examination of VIF values across the regression analyses indicated that multicollinearity was not a concern (all < 10), and the residuals were normally distributed. Durbin–Watson statistics were inspected and found to be ~ 2 across the regression analyses, suggesting that errors were uncorrelated and thus independent. Together, the data were suitable for multiple linear regression analysis
  2. Β standardized regression coefficient, t Student’s t-statistic, p p value, sr2 semi-partial correlation squared, GDW General Dominance Weight (higher GDW values indicate a more important predictor)