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Employees’ organizational citizenship behaviors (OCB) are important drivers of organizational effectiveness. Yet, there exist no established tools for selecting employees with a propensity to engage in OCB. Given that personality traits describe typical behavioral tendencies and are established OCB predictors, we propose that personality assessment is a useful approach for selecting employees who are likely to exhibit OCB. To test this proposition, we developed a structured job interview measuring the Big Five traits and then compared this interview to a personality self-report measure to determine which method of personality assessment works best for selecting organizational citizens. Employees (N = 223) from various occupations participated in the structured job interview and completed the personality self-report in a simulated selection setting. We then obtained supervisor ratings of employees’ OCB. Results supported the assumption that structured job interviews can be specifically designed to assess the Big Five personality traits and, most importantly, to predict OCB. Interview ratings of specific personality traits differentially predicted different types of OCB (i.e., OCB-compliance, OCB-helping, and OCB-initiative) and explained incremental variance in OCB over and above personality self-reports and verbal cognitive ability. Taken together, these findings expand our knowledge about dispositional predictors of OCBs, personality assessment in selection, and the design of job interviews.

To expand our knowledge of personality assessment, this study connects research and theory related to two common selection methods: assessment centers (ACs) and personality inventories. We examine the validity of personality-based AC ratings within a multi-method framework. Drawing from the self-other knowledge asymmetry model (Vazire, 2010), we propose that AC ratings are suited to capture personality traits that are observable in social interactions, whereas other methods (i.e., self-ratings) are useful to assess more internal traits. We obtained data from two personality-based ACs, self-and other-rated personality inventories, and supervisor ratings of job performance.Confirmatory factor analyses indicated that personalitybased AC ratings reflected the Big Five traits. Consistent with the self-other knowledge asymmetry model, AC ratings of more observable personality traits (Extraversion, Agreeableness, and Intellect/Openness) were correlated with inventory-based measures of these traits. AC ratings demonstrated incremental validity in predicting job performance over inventory-based personality measures for some traits (including Agreeableness, and Intellect/Openness) but self-ratings also demonstrated incremental validity over AC ratings (for Conscientiousness). This implies that differentThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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Personality traits describe dispositions influencing individuals' behavior and performance at work. However, in the context of personnel selection, the use of personality measures has continuously been questioned. To date, research in selection settings has focused uniquely on predicting task performance, missing the opportunity to exploit the potential of personality traits to predict non-task performance. Further, personality is often measured with self-report inventories, which are susceptible to self-distortion. Addressing these gaps, the planned study seeks to design new personality measures to be used in the selection context to predict a wide range of performance criteria. Specifically, we will develop a situational judgment test and a behavior description interview, both assessing Big Five personality traits and Honesty-Humility to systematically compare these new measures with traditional self-report inventories regarding their criterion-related validity to predict four performance criteria: task performance, adaptive performance, organizational citizenship behavior, and counterproductive work behavior. Data will be collected in a simulated selection procedure. Based on power analyses, we aim for 200 employed study participants, who will allow us to contact their supervisors to gather criterion data. The results of this study will shed light on the suitability of different personality measures (i.e., situational judgment tests and behavior description interviews) to predict an expanded range of performance criteria.