Table 2:

OLS Regression Models Predicting Importance of Job Security, Salary, and Passion-Related Considerations in Respondents’ Assessment of Good Career Decisions

	Job Security Scale			Salary Scale			Passion Scale
	Coeff	SE	Sig	Coeff	SE	Sig	Coeff	SE	Sig
Experienced job loss or furlough	−.066	.041		.069	.044		.073	.036	*
Women	.030	.039		−.187	.044	***	.086	.036	*
Married/Partnered	.030	.043		.079	.046		−.007	.039
Kids under 18	.108	.045	*	.150	.049	**	.091	.041	*
Age	−.002	.002		−.006	.001	***	.007	.001
Class background	.069	.017	***	.097	.018	***	.042	.015	**
Black	−.065	.067		.032	.069		−.194	.059	**
Hispanic	.077	.069		.089	.071		.024	.062
Asian	−.083	.062		.033	.065		−.132	.056	*
NAAPI	.129	.111		.134	.116		.080	.100
MS Degree	−.006	.041		−.042	.042		.011	.037
Advanced degree	−.105	.070		−.059	.073		.070	.063
Constant	4.123	.111	***	3.62	.115	***	4.141	.099	***

Notes:

^*p<.05;

^**p<.01;

^***p<.001; two-tailed test.

White is comparison category for race/ethnicity; men and gender non-binary respondents are comparison category for women. BS degree is comparison category for highest degree. Models also include controls for industry and field of highest degree.