ISPS ID:
D209
Suggested citation:
Galos, D.R and Coppock, A., 2025, Replication materials for, ‘Gender Composition Predicts Gender Bias: A Meta-Reanalysis of Hiring Discrimination Audit Experiments,’ https://hdl.handle.net/10079/3ca58835-a7a7-4637-9cd8-7c81300423f7. ISPS Data Archive.
Keyword(s):
Research design:
Data type:
experiments
Field Date:
2023
Location:
Location details:
Studies in 26 countries
Unit of observation:
Audit Experiment
Sample size:
70
Inclusion/exclusion:
More than 70 employment audit experiments that have randomized the gender of fictitious applicants to measure the extent of hiring discrimination on the basis of gender.
Randomization procedure:
gender of fictitious applicants
Treatment:
gender of fictitious applicants
Treatment administration:
Multiple
Outcome measures:
employment
Archive date:
2025
Terms of use:
Terms of Use: ISPS Data Archive
Discipline:
Area of study:
