Reducing Black–White Racial Differences on Intelligence Tests Used in Hiring for Public Safety Jobs

Abstract

This paper explores whether a diversity and inclusion strategy focused on using modern intelligence tests can assist public safety organizations in hiring a talented diverse workforce. Doing so may offer strategies for mitigating the issues of systematic racism with which these occupations have historically struggled. Past meta-analytic research shows that traditional forms of intelligence tests, which are often used in this sector, have not consistently demonstrated predictive validity but have negatively impacted Black candidates. As an alternative, we examine a modern intelligence test that consists of novel unfamiliar cognitive problems that test takers must solve without relying on their prior experience. Across six studies of varying public safety jobs (e.g., police, firefighter) in different organizations, we found a pattern of results that supports the criterion-related validity of the modern intelligence test. In addition to consistently predicting job performance and training success, the modern intelligence test also substantially mitigated the observed Black–White group differences. The implications of these findings are discussed in terms of how to alter the legacy of I/O psychology and human resource fields when it comes to our impact on facilitating employment opportunities for Black citizens, particularly in public safety positions.