Table 2.

Regression analyses examining the interaction between bias and contact.

	Step 1			Step 2			Step 3
Variable	B	SE	95% CI	B	SE	95% CI	B	SE	95% CI
Gender	0.182	0.121	−0.055, 0.420	0.126	0.096	−0.063, 0.315	0.137	0.096	−0.052, 0.325
Age	0.010	0.006	−0.002, 0.023	0.001	0.005	−0.009, 0.011	−0.002	0.005	−0.012, 0.009
Work hours	−0.006	0.004	−0.014, 0.001	0.001	0.003	−0.005, 0.007	0.001	0.003	−0.004, 0.007
Tenure	−0.027***	0.007	−0.040, −0.013	−0.008	0.006	−0.019, 0.003	−0.006	0.006	−0.018, 0.005
Current Prescribing	−0.181	0.160	−0.496, 0.133	−0.050	0.128	−0.301, 0.201	−0.082	0.128	−0.334, 0.169
Past Prescribing	0.252	0.300	−0.338, 0.842	0.045	0.239	−0.425, 0.516	0.090	0.239	−0.379, 0.560
R2 = 0.075
Bias				−0.761***	0.065	−0.888, −0.634	−0.627***	0.090	−0.803, −0.450
Contact				0.012***	0.002	0.007, 0.016	0.030**	0.009	0.012, 0.047
R2 (ΔR2) = 0.418 (0.344)
Bias * Contact							−0.007*	0.003	−0.014, −0.001
R2 (ΔR2) = 0.427 (0.009)

Note: N = 316; * p < .05, ** p < .01, *** p < .001.