The effects of predictor method factors on selection outcomes: A modular approach to personnel selection procedures

• Main Authors: LIEVENS, Filip, SACKETT, Paul R.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Personnel selection; assessment; predictor method factors; validity; subgroup differences; Human Resources Management; Organizational Behavior and Theory
• Online Access: https://ink.library.smu.edu.sg/lkcsb_research/5737; https://ink.library.smu.edu.sg/context/lkcsb_research/article/6736/viewcontent/Modular_afv.pdf
• Institution: Singapore Management University

Past reviews and meta-analyses typically conceptualized and examined selection procedures as holistic entities. We draw on the product design literature to propose a modular approach as a complementary perspective to conceptualizing selection procedures. A modular approach means that a product is broken down into its key underlying components. Therefore, we start by presenting a modular framework that identifies the important measurement components of selection procedures. Next, we adopt this modular lens for reviewing the available evidence regarding each of these components in terms of affecting validity, subgroup differences, and applicant perceptions, as well as for identifying new research directions. As a complement to the historical focus on holistic selection procedures, we posit that the theoretical contributions of a modular approach include improved insight into the isolated workings of the different components underlying selection procedures and greater theoretical connectivity among different selection procedures and their literatures. We also outline how organizations can put a modular approach into operation to increase the variety in selection procedures and to enhance the flexibility in designing them. Overall, we believe that a modular perspective on selection procedures will provide the impetus for programmatic and theory-driven research on the different measurement components of selection procedures.