Table 3.

Hierarchical linear regression models of variables

Variables	Anxiety		Job burn-out
	M1	M2	M3	M4	M5	M6	M7	M8
Control variables
Age	−0.012	−0.019	0.027	0.033	0.023	0.031	0.022	0.023
Gender	−0.085	−0.094**	0.005	0.042	−0.001	0.037	0.000	−0.002
Hospital level	−0.102**	0.087	−0.034	0.011	−0.024	0.011	−0.023	−0.025
Service years	0.067	0.084	0.092	0.062	0.103	0.069	0.106**	0.106**
Education level	0.107**	0.064	0.041	−0.006	0.012	−0.014	0.012	0.017
Department distribution	−0.004	−0.006	−0.011	−0.01	−0.013	−0.011	−0.014	−0.014
Cause variable
Workplace incivility		0.364**			0.240**	0.093**	0.242**	0.724**
Mediating variable
Anxiety				0.440**		0.405**
Moderating variable
Resilience							0.020	0.400**
Incivility resilience*								−0.564**
F	4.217**	19.379**	1.543	24.535**	7.367**	22.426**	21.003**	17.095**
R2	0.035**	0.165**	0.013	0.200**	0.070**	0.207**	0.057**	0.069**
∆R2	0.027**	0.156**	0.005	0.192**	0.060**	0.198**	0.054**	0.065**

M1: explains the influence of demographic variables on anxiety.

M2: explains the influence of workplace incivility on anxiety.

M3: explains the influence of demographic variables on job burn-out.

M4: explains the influence of anxiety on job burn-out.

M5: explains the influence of workplace incivility on job burn-out.

M6: explains the influence of workplace incivility on job burn-out after bringing into the explanatory power of anxiety.

M7: explains the influence of workplace incivility on job burn-out after bringing into the explanatory power of resilience.

M8: explains the influence of workplace incivility on job burn-out after bringing into the explanatory power of resilience and resilience Interaction.

*P<0.05; **P< 0.01.