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This study investigated whether faking in personality assessments affects the prediction of job performance and consequences of selection decisions when a nonlinear relationship was assumed between personality scores and job performance. It was also examined whether a selection strategy suggested for nonlinear relationships reduces the adverse impact of faking on consequences of selection decisions. The findings from the item response theory-based simulations indicated that the prediction of job performance was affected by faking, whereas selection accuracy was not substantially affected by faking. The improvement in selection accuracy due to the strategy suggested for a nonlinear relationship was not noticeable. However, the suggested strategy reduced adverse impacts of faking on the estimation of selected applicants' performance scores. [ABSTRACT FROM AUTHOR]

The most important fact emerging from the combination of my article and the three commentaries is the consensus judgment that content validity is appropriate scientifically and professionally for use with tests of specific cognitive skills used in job performance. This is important because the 1978 Uniform Guidelines on Employee Selection Procedures have typically been interpreted as not permitting such usage, and this is particularly the case in the interpretation given to the Guidelines by federal government enforcement agencies. Although the Society for Industrial and Organizational Psychology Principles and the Standards do not prohibit such usage, many industrial-organizational psychologists believe that it is not professionally or scientifically appropriate to employ content validity methods with cognitive measures. The hope is that this series will convince them otherwise. On this point, all four authors in the series are in agreement. The major disagreement among us concerns whether specific cognitive skills used in content valid tests must be considered constructs or not. My position, and apparently that of Kehoe, is that they need not be so considered. I argue that constructs must be invoked only in the context of a substantive theory. Sackett and Ployhart, on the other hand, argue that all measures taken on people must be viewed as constructs, regardless of whether any theoretical propositions and assumptions are involved. In this response, I present reasons why this need not be the case. [ABSTRACT FROM AUTHOR]

Despite the high skill levels needed to cope with complex technical systems and the pace of technological change, there remain persistent skill gaps in the United States workforce. Organizations are increasingly relying on skill-based programs to encourage and foster employee skill development. Unfortunately, many questions remain about how to make skill-based promotions. Drawing from research on performance testing and structured interviewing, as well as work that examines broader issues of performance prediction and candidate reactions, we outline the development and empirical test of a performance interview that can be used for skill-based promotions. Such interviews allow employees to demonstrate their skills on the job, and thus may be more accepted by employees. We first discuss seven design principles that form the conceptual foundation for the performance interview, followed by the specific steps practitioners can follow to develop a performance interview. Finally, using a sample of 230 auto parts manufacturing employees, we provide empirical evidence for the high reliability, validity, and positive candidate reactions to the performance interview. [ABSTRACT FROM AUTHOR]

This study uses data collected using a 360°-assessment instrument to investigate the structural equivalence of 360°-assessment ratings, according to rater type, controlling for organizational level. Data from 533 managers and their raters were employed in the study, which used multi-group structural equations modeling. Issues central to the implementation and use of 360°-assessment data are also considered within the context of current research and practice. [ABSTRACT FROM AUTHOR]