Table 3.

Regression analyses examining the interaction between stress and contact.

	Step 1			Step 2			Step 3
Variable	B	SE	95% CI	B	SE	95% CI	B	SE	95% CI
Gender	0.178	0.120	−0.058, 0.414	0.178	0.100	−0.018, 0.374	0.202	0.099	0.007, 0.397
Age	0.009	0.006	−0.004, 0.021	−0.002	0.005	−0.013, 0.008	−0.003	0.005	−0.014, 0.007
Work hours	−0.007	0.004	−0.014, 0.000	−0.002	0.003	−0.008, 0.004	−0.002	0.003	−0.008, 0.004
Tenure	−0.025***	0.007	−0.038, −0.012	−0.008	0.006	−0.020, 0.003	−0.009	0.006	−0.020, 0.003
Current Prescribing	−0.179	0.160	−0.493, 0.136	−0.319*	0.134	−0.582, −0.056	−0.343	0.133	−0.604, −0.081
Past Prescribing	0.240	0.300	−0.350, 0.831	0.288	0.249	−0.202, 0.778	0.319	0.247	−0.166, 0.805
R2 = 0.071
Stress				−0.417***	0.041	−0.498, −0.336	−0.307***	0.058	−0.421, −0.194
Contact				0.017***	0.003	0.012, 0.002	0.033***	0.006	0.020, 0.045
R2 (ΔR2) = 0.365 (0.293)
							−0.005**	0.002	−0.009, −0.001
Stress * Contact
R2 (ΔR2) = 0.379 (0.014)

Note: N = 321; * p < .05, ** p < .01, *** p < .001.