Přehled o publikaci
2023
On the trajectory of discrimination: A meta-analysis and forecasting survey capturing 44 years of field experiments on gender and hiring decisions
SCHAERER, Michael, du Plessis CHRISTILENE, My Hoang Bao NGUYEN, Robbie C.M. VAN AERT, Leo TIOKHIN et. al.Základní údaje
Originální název
On the trajectory of discrimination: A meta-analysis and forecasting survey capturing 44 years of field experiments on gender and hiring decisions
Autoři
SCHAERER, Michael, du Plessis CHRISTILENE, My Hoang Bao NGUYEN, Robbie C.M. VAN AERT, Leo TIOKHIN, Daniël LAKENS, Elena Giulia CLEMENTE, Thomas PFEIFFER, Anna DREBER, Magnus JOHANNESSON, Cory J. CLARK a Eric Luis UHLMANN
Vydání
ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, UNITED STATES, ACADEMIC PRESS INC ELSEVIER SCIENCE, 2023, 0749-5978
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Stát vydavatele
Nizozemské království
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Organizace
Lékařská fakulta – Masarykova univerzita – Repozitář
UT WoS
001112155000001
EID Scopus
2-s2.0-85176269117
Klíčová slova anglicky
Gender; Discrimination; Field experiments; Meta-analysis; Open science; Forecasting
Změněno: 18. 3. 2025 00:51, RNDr. Daniel Jakubík
Anotace
V originále
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 malestereotypical 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.