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. Author manuscript; available in PMC: 2024 Mar 28.
Published in final edited form as: Work Occup. 2022 Feb 21;49(2):187–228. doi: 10.1177/07308884221080938

Appendix Table B.2:

OLS Models Predicting Workplace Experiences, by LGBTQ status and Controls (N=14,434)

Treated as Equally Skilled Professional Work is Respected by Colleagues Fit In with Others at Work How often Felt Nervous or Stressed
B SE B SE B SE B SE
Women −.174 .016 *** −.104 .016 *** −.169 .018 *** .322 .018 ***
Black −.170 .047 *** −.063 .048 −.315 .056 **** −.168 .056 **
Latinx −.074 .027 ** .004 .027 −.064 .031 * −.120 .031 ***
Asian −.119 .022 *** −.045 .023 * −.037 .026 −.246 .026 ***
NAAPI −.166 .069 * −.149 .070 * −.212 .081 ** .057 .081
Disability Status −.139 .019 *** −.139 .019 *** −.172 .022 *** .351 .022 ***
Biological and related science −.031 .029 −.094 .030 *** .024 .034 .125 .034 ***
Physical and related science −.027 .026 −.069 .026 *** .007 .031 .099 .031 **
Social and related science −.083 .065 −.178 .066 *** −.174 .076 * −.038 .076
Engineering −.003 .025 −.042 .025 .021 .029 −.038 .029
Other STEM-related field −.043 .036 −.071 .036 .045 .042 −.003 .042
Advanced Degree .053 .020 ** .008 .020 −.043 .023 −.039 .023
Age .005 .001 *** .004 .001 *** .006 .001 *** −.024 .001 ***
Employer Size −.006 .004 −.022 .004 *** −.020 .005 *** .000 .005
Works for Military .013 .023 .013 .024 .012 .027 −.067 .027 **
Supervisory Responsibilities .050 .015 ** .045 .016 ** .039 .018 * .075 .018 ***
LGBTQ −.125 .034 *** −.063 .034 + −.241 .040 *** .178 .040 ***
Constant 4.288 .113 *** 4.291 .114 *** 3.968 .133 *** 3.687 .132 ***

Note:

+

p<.10;

*

p<.05;

**

p<.01;

***

p<.001;

Comparison category for race/ethnicity is white; comparison category for STEM discipline is computer and mathematical sciences; each model also controls for respondents’ employment sector, the professional society they are a member of, and their primary work activity. We conducted two supplemental analyses to test the sensitivity of the data to the differential sample sizes of LGBTQ and non-LGBTQ respondents in our survey data. First, we constructed a sample of non-LGBTQ respondents matched to the sample of LGBTQ respondents and re-ran the regressions presented in Table B.2. We found the same significance patterns with the matched pair sample. Additionally, we conducted Blinder-Oaxaca decomposition analysis of the entire sample, and found that the portion of variance between LGBTQ and non-LGBTQ respondents not explained by group differences in demographics, discipline, education and job experience matched the significance levels and direction of the coefficients in the analysis in Table 2. These supplemental analyses provide support that the differences between LGBTQ and non-LBTQ respondents are not an artifact of the differential sample sizes across the two groups.