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First published in Organizational Behavior and Human Design Processes, v179 (Nov 2023) published by Elsevier B.V. DOI: https://doi.org/10.1016/j.obhdp.2023.104280

Document Type

Article

Publication Version

Published Version

Keywords

Discrimination, Field experiments, Forecasting, Gender, Meta-analysis, Open science

Journal/Book/Conference Title

Organizational Behavior and Human Decision Processes

Volume

179

First Page

1

Last Page

26

Abstract

A preregistered meta-analysis, including 244 effect sizes from 85 field audits and 361,645 individual job applications, tested for gender bias in hiring practices in female-stereotypical and gender-balanced as well as male-stereotypical jobs from 1976 to 2020. A “red team” of independent experts was recruited to increase the rigor and robustness of our meta-analytic approach. A forecasting survey further examined whether laypeople (n = 499 nationally representative adults) and scientists (n = 312) could predict the results. Forecasters correctly anticipated reductions in discrimination against female candidates over time. However, both scientists and laypeople overestimated the continuation of bias against female candidates. Instead, selection bias in favor of male over female candidates was eliminated and, if anything, slightly reversed in sign starting in 2009 for mixed-gender and male-stereotypical jobs in our sample. Forecasters further failed to anticipate that discrimination against male candidates for stereotypically female jobs would remain stable across the decades.

Department

Department of Psychology

Original Publication Date

11-1-2023

Object Description

1 PDF File

DOI of published version

10.1016/j.obhdp.2023.104280

Repository

UNI ScholarWorks, Rod Library, University of Northern Iowa

Copyright

©2023 The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Language

en

File Format

application/pdf

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