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. 2022 Jun 15;8(24):eabo1558. doi: 10.1126/sciadv.abo1558

Table 1. Explanatory predictors by category included in Blinder-Oaxaca decomposition models.

See Materials and Methods section for measurement details on each item.

Category Explanatory factors
Human capital STEM field (life sciences, physical
sciences, mathematics, computer
science, engineering, other)
Highest degree
Tenure in employing organization
Background characteristics Age
Whether born in the United States
Parents’ highest level of education
Job characteristics Employment sector (industry,
university or college, government,
nonprofit, primary or secondary
education, and other)
Employer size
Extent that respondent’s job is
related to their highest degree
Primary job responsibility—core
technical versus noncore technical
Supervisory responsibilities
Whether they primarily work in
teams
Work effort and attitudes Average hours worked per week
Willing to put in extra effort
beyond what is required of job
Personally care about fate of
organization
Whether their work is an
important part of their identity
Family responsibilities Has young or school-aged
children
Has primary responsibility for
childcare
Has eldercare responsibilities