This paper concerns critical work behaviors for leaders across the globe and how scores on dark side personality measures predict those behaviors. Using a global archive of job analytic data, we first identify the work behaviors most critical for performance in managerial jobs across organisations, industry sectors, and countries. Next, we identify criterion‐related validation research studies including dark side personality measures and performance ratings for at least one of these critical work behaviors. Based on meta‐analytic results, we examine relations between scores on dark side personality measures and critical leader work behaviors. Also, we examine evidence of potential moderators of these relationships. Finally, we consider the implications of our results for I/O professionals engaged in using personality assessment for leadership development and executive coaching.

Although synthetic validation has long been suggested as a practical and defensible approach to establishing validity evidence, synthetic validation techniques are infrequently used and not well understood by the practitioners and researchers they could most benefit. Therefore, we describe the assumptions, origins, and methods for establishing validity evidence of the two primary types of synthetic validation techniques: (a) job component validity and (b) job requirements matrix. We then present the case for synthetic validation as the best approach for many situations and address the potential limitations of synthetic validation. We conclude by proposing the development of a comprehensive database to build prediction equations for use in synthetic validation of jobs across the U.S. economy and reviewing potential obstacles to the creation of such a database. We maintain that synthetic validation is a practically useful methodology that has great potential to advance the science and practice of industrial and organizational psychology.

Although synthetic validation has long been suggested as a practical and defensible approach to establishing validity evidence, synthetic validation techniques are infrequently used and not well understood by the practitioners and researchers they could most benefit. Therefore, we describe the assumptions, origins, and methods for establishing validity evidence of the two primary types of synthetic validation techniques: (a) job component validity and (b) job requirements matrix. We then present the case for synthetic validation as the best approach for many situations and address the potential limitations of synthetic validation. We conclude by proposing the development of a comprehensive database to build prediction equations for use in synthetic validation of jobs across the U.S. economy and reviewing potential obstacles to the creation of such a database. We maintain that synthetic validation is a practically useful methodology that has great potential to advance the science and practice of industrial and organizational psychology.When faced with the need to estimate the validity of a personnel selection procedure,

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