Table 4.

Unstandardised Regression Coefficients of the Moderating Effect of Job Autonomy

Variables	Model 1	95% CI	Model 2	95% CI	Model 3	95% CI	Model 4	95% CI	Model 5	95% CI
Intercept	3.074***	[2.528, 3.619]	2.791***	[2.248, 3.333]	3.556***	[3.025, 4.086]	3.859***	[3.367, 4.351]	3.851***	[3.367, 4.335]
Gender	.128	[− .039, .294]	.114	[− .049, .277]	.071	[− .083, .224]	.019	[− .123, .162]	.027	[− .113, .167]
Age	− .002	[− .012, .008]	.004	[− .006, .014]	− .000	[− .009, .009]	− .003	[− .011, .006]	− .004	[− .013, .004]
Education	.052	[− .051, .156]	.027	[− .075, .128]	− .010	[− .106, .086]	− .058	[− .146, .031]	− .039	[− .127, .049]
Income	− .008	[− .074, .058]	.044	[− .023, .111]	− .015	[− .078, .049]	− .029	[− .088, .030]	− .042	[− .100, .016]
Industry	− .000	[− .031, .030]	.004	[− .026, .034]	.001	[− .027, .029]	− .003	[− .029, .023]	.000	[− .025, .025]
Working hours per day			− .080***	[− .106, − .053]	− .094***	[− .119, − .068]	− .063***	[− .087, − .039]	− .044**	[− .069, − .019]
Working hours per day2					− .027***	[− .032, − .021]	− .020***	[− .025, − .016]	− .016***	[− .021, − .010]
Work scheduling autonomy							.210***	[.150, .270]	.146***	[.074, .217]
Decision-making autonomy							.191***	[.129, .253]	.113**	[.039, .186]
Work method autonomy							.045	[− .020, .109]	.049	[− .030, .128]
Working hours per day × work scheduling autonomy							.020*	[.003, .038]	.031**	[.013, .049]
Working hours per day × decision-making autonomy							.017	[− .001, .035]	.025**	[.006, .043]
Working hours per day × work method autonomy							− .004	[− .023, .014]	− .001	[− .020, .018]
Working hours per day2 × work scheduling autonomy									.006**	[.003, .010]
Working hours per day2 × decision-making autonomy									.008***	[.004, .011]
Working hours per day2 × work method autonomy									− .000	[− .004, .004]
Adjusted R2	.000		.041		.155		.283		.308
F	.952		6.532***		21.091***		24.399***		22.404***
△F	.952		34.224***		103.198***		23.835***		9.987***
△R2	.006		.043		.113		.133		.027

*p < .05; **p < .01; ***p < .001. Gender: 1 = men; 2 = women. Education: 1 = high school or below; 2 = three years of college education in a technical field; 3 = four-year undergraduate degree; 4 = graduate degree. Income: 1 = under 3,000 yuan/RMB; 2 = 3,001–6,000 yuan/RMB; 3 = 6,001–9,000 yuan/RMB; 4 = 9,001–12,000 yuan/RMB, 5 = over 12,000 yuan/RMB. Industries: 1 = manufacturing; 2 = financial; 3 = information technology, computer services, and software; 4 = internet or electronic commerce; 5 = education; 6 = wholesale and retail industry; 7 = transportation; 8 = building materials; 9 = petrochemical industry; 10 = others. Bootstrapping sample is 1,000