Abstract Greenwald, Banaji, and Nosek (2015) present a reanalysis of the meta-analysis by
Oswald, Mitchell, Blanton, Jaccard, and Tetlock (2013) that examined the effect sizes of …

This is a fully updated edition of Personnel Selection, a seminal text on the psychometric
approach to personnel selection by a noted expert in the field. Focuses on cutting-edge …

Substantial mean score differences and significant adverse impact have long motivated the
question of whether cognitive ability tests are biased against certain non-White subgroups …

Researchers have investigated whether machine learning (ML) may be able to resolve one
of the most fundamental concerns in personnel selection, which is by helping reduce the …

Managing Workplace Diversity and Inclusion bridges the gap between social science theory
and research and the practical concerns of those working in diversity and inclusion by …

Aguinis, H., Culpepper, SA, & Pierce, CA (2010). Revival of test bias research in
preemployment testing. Journal of Applied Psychology, 95 (4), 648–680. doi …

Commentators interested in the societal implications of automated decision-making often
overlook how decisions are made in the technology's absence. For example, the benefits of …

Psychology and Work is a new textbook for introductory Industrial and Organizational (I/O)
Psychology classes. Written by award-winning I/O professors with expertise in I/O …

In the attempt to identify or prevent unfair tests, both quantitative analyses and logical
evaluation are often used. For the most part, fairness evaluation is a pragmatic attempt at …

Intelligence (ie, g, general mental ability) is an individual difference that is arguably more
important than ever for success in the constantly changing, ever more complex world of …