Browsing Management and Law by Author "Woods, S.A."
Personnel Selection in the Digital Age: A Review of Validity and Applicant Reactions, and Future Research ChallengesWoods, S.A.; Ahmed, S.; Nikolaou, I.; Costa, Ana-Cristina; Anderson, Neil (Taylor francis Group, 2019)We present a targeted review of recent developments and advances in digital selection procedures (DSPs) with particular attention to advances in internet-based techniques. By reviewing the emergence of DSPs in selection research and practice, we highlight five main categories of methods (online applications, online psychometric testing, digital interviews, gamified assessment and social media). We discuss the evidence base for each of these DSP groups, focusing on construct and criterion validity, and applicant reactions to their use in organizations. Based on the findings of our review, we present a critique of the evidence base for DSPs in industrial, work and organizational psychology and set out an agenda for advancing research. We identify pressing gaps in our understanding of DSPs, and ten key questions to be answered. Given that DSPs are likely to depart further from traditional nondigital selection procedures in the future, a theme in this agenda is the need to establish a distinct and specific literature on DSPs, and to do so at a pace that reflects the speed of the underlying technological advancement. In concluding, we, therefore, issue a call to action for selection researchers in work and organizational psychology to commence a new and rigorous multidisciplinary programme of scientific study of DSPs.
Toward a periodic table of personality: mapping personality scales between the five-factor model and the circumplex modelWoods, S.A.; Anderson, Neil (2016-04)In this study we examine the structures of ten personality inventories widely used for personnel assessment, by mapping the scales of personality inventories (PIs) to the lexical Big Five circumplex model resulting in a ‘Periodic Table of Personality’. Correlations between 273 scales from ten internationally popular PIs with independent markers of the lexical Big Five are reported, based on data from samples in two countries (UK N = 286; USA N = 1,046), permitting us to map these scales onto the AB5C framework. Emerging from our findings we propose a common facet framework derived from the scales of the PIs in our study. These results provide important insights into the literature on criterion-related validity of personality traits, and enable researchers and practitioners to understand how different PI scales converge and diverge and how compound PI scales may be constructed or replicated. Implications for research and practice are considered.