TABLE 2.
Regression parameters for predicting Time 1 social dominance
| Model | ||||
|---|---|---|---|---|
| Social exclusion | Post‐aggression discussion | |||
| Predictor | b | β | b | β |
| BMI | −0.47+/−0.47+ | −0.15/−0.17 | −0.64*/−0.64* | −0.20/−0.24 |
| RSAR | 1.38/1.38 | 0.14/0.12 | 2.60*/2.60* | 0.33/0.32 |
| SCLR | 0.03/0.03 | 0.03/0.03 | 0.06/0.06 | 0.05/0.06 |
| RSAR × SCLR | −0.11/−0.11 | −0.04/−0.03 | −0.12/−0.12 | −0.05/−0.07 |
| Fit statistics | ||||
| χ 2 (16) = 11.98, p = .75 CFI = 1.00 RMSEA = 0.00 SRMR = 0.08 | χ 2 (16) = 10.23, p = .85 CFI = 1.00 RMSEA = 0.00 SRMR = 0.07 | |||
Note. Estimates show girls on left, boys on right.
Abbreviations: BMI, body mass index; CFI, comparative fit index; RMSEA, root mean square error of approximation; RSAR, respiratory sinus arrhythmia reactivity; SCLR, skin conductance level reactivity; SRMR, standardized root mean‐square residual.
+ p < .10; * p < .05.