Table 3.

Results of the hierarchical multiple regression analysis for emotional risk perception

Step	Step 1		Step 2		Step 3		Step 4
Variables	ß	t	ß	t	ß	t	ß	t
Gender∗	0.02	0.32	−0.01	−0.15	0.01	0.17	0.05	1.20
Age	0.08	1.25	0.03	0.53	0.04	0.79	0.08	1.57
Working hours	−0.07	−1.35	0.16	−3.26	−0.09	−1.89	−0.06	−1.41
# of Workers	0.00	−0.03	0.02	0.37	−0.02	−0.47	−0.07	−1.67
Marriage status†	0.05	0.87	0.04	0.80	0.06	1.11	0.02	0.46
Working years	−0.04	0.67	−0.02	−0.42	−0.02	−0.36	−0.01	−0.28
Safety climate			−0.41**	−8.42	−0.14*	−2.16	−0.10	−1.69
Safety leadership					−0.39**	−6.23	−0.29	−4.89
Accident experience‡							0.09*	2.04
Workload							0.34**	7.25
R2	0.02		0.18		0.26		0.38
F	1.10		11.25**		15.71**		21.70**
ΔR2			0.16		0.08		0.12

Gender, marriage status, and accident experience were dummy variables.

*p < 0.05; **p < 0.01.

^∗0 = female, 1 = male.

^†0 = not married, 1 = married.

^‡0 = No, 1 = Yes.