Psychology Commons^™

Designing Pareto-Optimal Selection Systems: Formalizing The Decisions Required For Selection System Development, Wilfried De Corte, Paul R. Sackett, Filip Lievens

Research Collection Lee Kong Chian School Of Business

The article presents an analytic method for designing Pareto-optimal selection systems where the applicants belong to a mixture of candidate populations. The method is useful in both applied and research settings. In an applied context, the present method is the first to assist the selection practitioner when deciding on 6 major selection design issues: (1) the predictor subset, (2) the selection rule, (3) the selection staging, (4) the predictor sequencing, (5) the predictor weighting, and (6) the stage retention decision issue. From a research perspective, the method offers a unique opportunity for studying the impact and relative importance of different …

Exploring Process Dissociation As A Tool For Investigating Discrimination In Hiring Situations, Rhys J. Lewis

Electronic Thesis and Dissertation Repository

Process dissociation is introduced as a way to overcome methodological limitations currently hindering sexism research. Researchers have identified two main types of sexism in hiring contexts. Meta-analyses confirm that men are traditionally advantaged over women (Tosi & Einbender, 1985), and that both genders encounter discrimination when applying to a job typically associated with the other gender (Davison & Burke, 2000). One problem is that these two biases are often confounded. As a result, researchers have hitherto been limited to showing that the two biases exist, but are largely unable to quantify them.

A possible solution might be process dissociation. It …

Applicant Versus Employee Scores On Self-Report Emotional Intelligence Measures, Filip Lievens, Ute-Christine Klehe, Nele Libbrecht

Research Collection Lee Kong Chian School Of Business

There exists growing interest to assess applicants' emotional intelligence (EI) via self-report trait-based measures of EI as part of the selection process. However, some studies that experimentally manipulated applicant conditions have cautioned that in these conditions use of self-report measures for assessing EI might lead to considerably higher scores than current norm scores suggest. So far, no studies have scrutinized self-reported EI scores among a sample of actual job applicants. Therefore, this study compares the scores of actual applicants at a large ICT organization (n = 109) on a well-known self-report measure of EI to the scores of employees already …