Sørlie Henrik O, Hetland Jørn, Dysvik Anders, Fosse Thomas H, Martinsen Øyvind L
Department of Psychosocial Science, University of Bergen, Bergen, Norway.
Norwegian Defence Command and Staff College, Oslo, Norway.
Mil Psychol. 2020 Feb 26;32(3):237-246. doi: 10.1080/08995605.2020.1724752. eCollection 2020.
The goal of personnel selection is to find predictors that, together, maximize the explained variance in important job outcomes such as Task Performance or Work Engagement. Common predictors include Intelligence and Big Five Personality. Using Person-Organization Fit (-O Fit) for selection purposes has been discussed, but, beyond Intelligence and Personality, evidence of the incremental predictive validity of -O Fit in relation to task performance and work engagement is scarce. This study examines the practical utility of indirectly measured -O Fit as a selection tool in a military setting. Measures of objective -O Fit were obtained from actual applicants in a military selection setting and combined with self-report measures of Work Engagement upon organizational entry, and supervisor-rated Task Performance approximately two weeks later. -O Fit predicted both Task Performance ( = .041) and Work Engagement ( = .038). More importantly, -O Fit yielded incremental predictive validity in relation to both outcomes, also after controlling for intelligence and personality traits. While our initial models (including age, gender, intelligence, and personality) explained 25.1% and 5.8% of the variance in work engagement and task performance, respectively, this increased to 26.3% and 6.3%, respectively, after the inclusion of -O Fit. Implications for practical use in selection systems are discussed.
人员选拔的目标是找到一些预测指标,这些指标共同作用,能够使诸如任务绩效或工作投入等重要工作成果的解释方差最大化。常见的预测指标包括智力和大五人格。人们已经讨论过将个人与组织匹配度(-O匹配度)用于选拔目的,但除了智力和人格之外,关于-O匹配度相对于任务绩效和工作投入的增量预测效度的证据却很少。本研究考察了在军事环境中间接测量的-O匹配度作为一种选拔工具的实际效用。客观-O匹配度的测量值来自军事选拔环境中的实际申请者,并与入职时的工作投入自我报告测量值以及大约两周后的上级评定的任务绩效相结合。-O匹配度预测了任务绩效(=0.041)和工作投入(=0.038)。更重要的是,即使在控制了智力和人格特质之后,-O匹配度在这两个结果方面都产生了增量预测效度。虽然我们最初的模型(包括年龄、性别、智力和人格)分别解释了工作投入和任务绩效方差的25.1%和5.8%,但在纳入-O匹配度之后,这一比例分别增加到了26.3%和6.3%。本文还讨论了在选拔系统中的实际应用意义。