. 2019 Jun 28;16(13):2291. doi: 10.3390/ijerph16132291

Table 3.

Summary of multiple linear regressions predicting the well-being for male and female workers.

	Male				Female
	Model A1	Model A2	Model A3	Model A4	Model B1	Model B2	Model B3	Model B4
	β	β	β	β	β	β	β	β
Age	0.184 ***	0.177 ***	0.054 **	0.054 **	0.186 ***	0.185 ***	0.066 *	0.073 *
Marital Status ^a	0.066 ***	0.075 ***	0.093 ***	0.092 ***	0.065	0.075 *	0.078 *	0.080 **
Education	0.001	0.013	0.003	0.002	−0.011	0.031	−0.028	−0.013
Occupation ^a	−0.058 ***	−0.063 ***	−0.050 ***	−0.050 **	0.017	−0.006	0.027	0.018
Economic Status	0.287 ***	0.279 ***	0.178 ***	0.178 ***	0.271 ***	0.235 ***	0.153 ***	0.147 ***
WFC ^b		−0.098 ***		0.010		−0.239 ***		−0.081 *
Burnout			−0.474 ***	−0.477 ***			−0.501 ***	−0.471 ***
Total R²	0.184	0.193	0.373	0.374	0.147	0.200	0.360	0.366
∆R²	0.184	0.009	0.189	0.190		0.053	0.213	0.219
F	155.07 ***	137.27 ***	342.16 ***	293.32 ***	25.80 ***	31.20 ***	70.29 ***	61.59 ***

β denotes standardized regression coefficient. ^a Not married and white-collar were coded as 0; married and blue-collar were coded as 1. ^b WFC denotes work-to-family conflict. * p < 0.05; ** p < 0.01; *** p < 0.001.