Table 1.

Results of hierarchical regression model

Variables	Model 1	Model 2	Model 3	Model 4	Model 5	Model 6
Gender	.02	.02	.26**	.03	.03	.03
Age	−.01	−.01	−.01	.01	−.01	−.01
Job tenure	.01	.01	.01	.01	.03	.01
Employment status	.01	.00	.01	.00	.00	−.00
Positive affect	−.12*	−.11**	−.12**	−.11**	−.10*	−.11**
Negative affect	.31**	.31**	.31**	.31**	.31**	.31**
COVID‐19		1.22**	1.39**	2.70**	1.38**	1.12**
COVID‐19 and gender			−.46**
COVID‐19 and age				−.02**
COVID‐19 and job tenure					−.03*
COVID‐19 and employment status						.01
R 2	11.3%	44.5%	45.6%	45.3%	44.9%	44.5%
f 2		.60	.02	.02	.01	.00

N = 577; Unstandardized coefficients are reported; Gender: 0 = female, 1 = male; Employment Status: 0 = temporary, 1 = permanent.

^† p < .10

^* p < .05

^** p < .01