Open this publication in new window or tab >>2023 (English)In: Collabra: Psychology, E-ISSN 2474-7394, Vol. 9, no 1Article in journal (Refereed) Published
Abstract [en]
We aimed to identify effect sizes of age discrimination in recruitment based on evidencefrom correspondence studies and scenario experiments conducted between 2010 and2019. To differentiate our results, we separated outcomes (i.e., call-back rates and hiring/invitation to interview likelihood) by age groups (40-49, 50-59, 60-65, 66+) and assessedage discrimination by comparing older applicants to a control group (29-35 year-olds).We conducted searches in PsycInfo, Web of Science, ERIC, BASE, and Google Scholar,along with backward reference searching. Study bias was assessed with a tool developedfor this review, and publication bias by calculating R-index, p-curve, and funnel plots. Wecalculated odds ratios for callback rates, pooled the results using a random-effectsmeta-analysis and calculated 95% confidence intervals. We included 13 studies from 11articles in our review, and conducted meta-analyses on the eight studies that we wereable to extract data from. The majority of studies were correspondence studies (k=10) andcame largely from European countries (k=9), with the rest being from the U.S. (k=3) andAustralia (k=1). Seven studies had a between-participants design, and the remaining sixstudies had a within-participants design. We conducted six random-effectsmeta-analyses, one for each age category and type of study design and found an averageeffect of age discrimination against all age groups in both study designs, with varyingeffect sizes (ranging from OR = 0.38, CI [0.25, 0.59] to OR = 0.89, CI [0.81, 0.97]). Therewas moderate to high risk of bias on certain factors, e.g., age randomization, problemswith application heterogeneity. Generally, there’s an effect of age discrimination and ittends to increase with age. This has important implications regarding the future of theworld’s workforce, given the increase in the older workforce and later retirement.
Place, publisher, year, edition, pages
University of California Press, 2023
National Category
Psychology
Research subject
Social Sciences, Psychology
Identifiers
urn:nbn:se:lnu:diva-124466 (URN)10.1525/collabra.82194 (DOI)001177871700001 ()2-s2.0-85169012673 (Scopus ID)
2023-09-112023-09-112024-03-25Bibliographically approved