Same‐gender and same‐race bias in assessment center ratings: A rating error approach to understanding subgroup differences

Abstract

This study investigated leniency and similar‐to‐me bias as mechanisms underlying demographic subgroup differences among assessees in assessors’ initial dimension ratings from three assessment center (AC) simulation exercises used as part of high‐stakes promotional testing. It examined whether even small individual‐level effects can accumulate (i.e., “trickle‐up”) to produce larger subgroup‐level differences. Individual‐level analyses were conducted using cross‐classified multilevel modeling and conducted separately for each exercise. Results demonstrated weak evidence of leniency toward White assessees and similar‐to‐me bias among non‐White assessee–assessor pairs. Similar leniency was found toward female assessees, but no statistically significant effects were found for assessee or assessor gender or assessee–assessor gender similarity. Using traditional d effect size estimates, weak individual level assessee effects translated into small but consistent subgroup differences favoring White and female assessees. Generally small but less consistent subgroup differences indicated that non‐White and male assessors gave higher ratings. Moreover, analyses of overall promotion decisions indicate the absence of adverse impact. Findings from this AC provide some support for the “trickle‐up” effect, but the effect on subgroup differences is trivial. The results counter recent reviews of AC studies suggesting larger than previously assumed subgroup differences. Consequently, the findings demonstrate the importance of following established best practices when developing and implementing the AC method for selection purposes to minimize subgroup differences.

Gendered perceptions in maize supply chains: Evidence from Uganda

“…Alternatively, women may be more lenient when rating the service and input providers. However, the literature does not mention a statistically significant presence of leniency for ratings provided by female raters (Thornton et al, 2019).…”