Can everyone get interesting jobs? Estimating interest fit across gender, ethnicity, and education

Abstract Although research and policy efforts have attempted to “even the hiring playing field” and progress equal opportunities, systemic employment patterns based on gender and ethnicity remain prevalent. An unexplored avenue of diversity, equity, and inclusion efforts is the degree to which all people can obtain jobs that fit their interests. The present study used a large, diverse sample of over 250,000 American employees to estimate the average vocational interest fit that people have with their jobs and differences in fit across race/ethnicity, gender, and education. Overall, employees showed moderate positive vocational interest fit with their jobs, with an average profile correlation of .20 between person and job interests. There were small gender differences in vocational interest fit favoring men, especially White and Hispanic men, with minimal differences across other race/ethnicity groups. However, the largest group differences emerged for education, as employees with higher educational attainment showed greater vocational interest fit, particularly among women. Further intersectional analyses added greater nuance to these results, including how various groups achieve vocational interest fit across different types of jobs. Altogether, this work provides important fit benchmark estimates for researchers, counselors, organizational placement, and theory refinement.

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Publication Details

Journal
Applied Psychology
Published
2024-08-21
DOI
https://doi.org/10.1111/apps.12567
Citations
3
Primary Topic
Gender Diversity and Inequality
Type
article
Field-Weighted Citation Impact
2.79
Controls
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article

Can everyone get interesting jobs? Estimating interest fit across gender, ethnicity, and education

Kevin A. Hoff, James Rounds, Michael L. Morris, Kisha S. Jones et al.
3 citations
Applied Psychology
Gender Diversity and Inequality
2.79
article

Can everyone get interesting jobs? Estimating interest fit across gender, ethnicity, and education

Kevin A. Hoff, James Rounds, Michael L. Morris, Kisha S. Jones, Christopher D. Nye, Alexis Hanna
article en
3 citations

Abstract

Abstract Although research and policy efforts have attempted to “even the hiring playing field” and progress equal opportunities, systemic employment patterns based on gender and ethnicity remain prevalent. An unexplored avenue of diversity, equity, and inclusion efforts is the degree to which all people can obtain jobs that fit their interests. The present study used a large, diverse sample of over 250,000 American employees to estimate the average vocational interest fit that people have with their jobs and differences in fit across race/ethnicity, gender, and education. Overall, employees showed moderate positive vocational interest fit with their jobs, with an average profile correlation of .20 between person and job interests. There were small gender differences in vocational interest fit favoring men, especially White and Hispanic men, with minimal differences across other race/ethnicity groups. However, the largest group differences emerged for education, as employees with higher educational attainment showed greater vocational interest fit, particularly among women. Further intersectional analyses added greater nuance to these results, including how various groups achieve vocational interest fit across different types of jobs. Altogether, this work provides important fit benchmark estimates for researchers, counselors, organizational placement, and theory refinement.

Applied PsychologyVol. 74(1)
University of Nevada, Reno (US), University of Illinois Urbana-Champaign (US), Florida International University (US), Aqua Metrology Systems (United States) (US), Michigan State University (US)
Openalex Percentile: Top 10%
Gender Diversity and Inequality
2.79
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Can everyone get interesting jobs? Estimating interest fit across gender, ethnicity, and education — Kevin A. Hoff, James Rounds, et al. · Applied Psychology (2024) | TGRS Research Map | TGRS