Table 2.

Hierarchical Linear Regression Models Examining the Effects of Status and Benevolent Sexism Bystander Behavior Towards Friends and Strangers

Model Predicting Bystander Behavior Towards Friends
	B	S.E.	b	LLCI	ULCI	p	F	R	R2	ΔR2
Step 1							4.24*	.32	.11
Age	−.21	.07	−.25	−.34	−.07	.003
Antifemininity	−.96	.31	−.32	−1.57	−.35	.002
Toughness	.04	.31	.01	−.57	.65	.894
Hostile Sexism	.41	.24	.20	−.06	.87	.084
Step 2							3.62*	.36	.13	.027
Age	−.17	.07	−.20	−.31	−.03	.015
Antifemininity	−1.10	.32	−.37	−1.73	−.48	.001
Toughness	−.19	.32	−.07	−.83	.45	.557
Hostile Sexism	.32	.25	.15	−.17	.81	.198
Status	.55	.26	.25	.03	1.07	.039
Benevolent Sexism	−.12	.21	−.06	−.55	.30	.574
Step 3							4.00*	.41	.16	.03*
Age	−.19	.07	−.22	−.33	−.05	.007
Antifemininity	−1.18	.31	−.39	−1.79	−.56	.000
Toughness	−.28	.32	−.10	−.92	.35	.382
Hostile Sexism	.45	.25	.22	−.04	.95	.072
Status	.56	.26	.25	.04	1.07	.034
Benevolent Sexism	−.19	.21	−.09	−.61	.23	.369
Status × Benevolent Sexism	.40	.17	.19	.06	.74	.021
Model Predicting Bystander Behavior Towards Strangers
	B	S.E.	b	LLCI	ULCI	p	F	R	R2	ΔR2
Step 1							1.89	.22	.05
Age	−.022	.04	−.05	−.10	.06	.583
Antifemininity	−.478	.18	−.28	−.83	−.12	.009
Toughness	.165	.18	.10	−.19	.52	.357
Hostile Sexism	.201	.14	.17	−.07	.47	.144
Step 2							1.37	.22	.05	.01
Age	−.015	.04	−.03	−.10	.07	.723
Antifemininity	−.500	.19	−.30	−.87	−.13	.008
Toughness	.131	.19	.08	−.25	.51	.493
Hostile Sexism	.160	.15	.14	−.13	.45	.275
Status	.078	.16	.06	−.23	.39	.617
Benevolent Sexism	.051	.13	.04	−.20	.30	.690
Step 3							1.18	.23	.06	.00
Age	−.013	.04	−.03	−.09	.07	.752
Antifemininity	−.494	.19	−.29	−.86	−.12	.009
Toughness	.138	.19	.09	−.24	.52	.476
Hostile Sexism	.150	.15	.13	−.15	.45	.321
Status	.077	.16	.06	−.23	.39	.621
Benevolent Sexism	.056	.13	.05	−.20	.31	.663
Status × Benevolent Sexism	−.031	.10	−.03	−.24	.17	.767

Note.

^*p<.010

LLCI= Lower Limit 95% Confidence Interval; ULCI = Upper Limit 95% Confidence Interval