We reviewed studies of the Dark Triad (DT) personality traits--Machiavellianism, narcissism, and psychopathy-and meta-analytically examined their implications for job performance and counterproductive work behavior (CWB). Relations among the DT traits and behaviors were extracted from original reports published between 1951 and 2011 of 245 independent samples (N = 43,907). We found that reductions in the quality of job performance were consistently associated with increases in Machiavellianism and psychopathy and that CWB was associated with increases in all 3 components of the DT, but that these associations were moderated by such contextual factors as authority and culture. Multivariate analyses demonstrated that the DT explains moderate amounts of the variance in counterproductivity, but not job performance. The results showed that the 3 traits are positively related to one another but are sufficiently distinctive to warrant theoretical and empirical partitioning.

/pdf/a-meta-analysis-of-the-dark-triad-and-work-behavior-a-social-52qr480jji.pdf

A meta-analysis of the Dark Triad and work behavior: A social exchange perspective.

Response bias continues to be the most frequently cited criticism of personality testing for personnel selection. The authors meta-analyzed the social desirability literature, examining whether social desirability functions as a predictor for a variety of criteria, as a suppressor, or as a mediator. Social desirability scales were found not to predict school success, task performance, counterproductive behaviors, and job performance. Correlations with the Big Five personality dimensions, cognitive ability, and years of education are presented along with empirical evidence that (a) social desirability is not as pervasive a problem as has been anticipated by industrial-organizational psychologists, (b) social desirability is in fact related to real individual differences in emotional stability and conscientiousness, and (c) social desirability does not function as a predictor, as a practically useful suppressor, or as a mediator variable for the criterion of job performance. Removing the effects of social desirability from the Big Five dimensions of personality leaves the criterion-related validity of personality constructs for predicting job performance intact.

Role of social desirability in personality testing for personnel selection: The red herring

Cognitive or intellectual investment theories propose that the development of intelligence is partially influenced by personality traits, in particular by so-called investment traits that determine when, where, and how people invest their time and effort in their intellect. This investment, in turn, is thought to contribute to individual differences in cognitive growth and the accumulation of knowledge across the life span. We reviewed the psychological literature and identified 34 trait constructs and corresponding scales that refer to intellectual investment. The dispositional constructs were further classified into 8 related trait categories that span the construct space of intellectual investment. Subsequently, we sought to estimate the association between the identified investment traits and indicators of adult intellect, including measures of crystallized intelligence, academic performance (e.g., grade point average), college entry tests, and acquired knowledge. A meta-analysis of 112 studies with 236 coefficients and an overall sample of 60,097 participants indicated that investment traits were mostly positively associated with adult intellect markers. Meta-analytic coefficients ranged considerably, from 0 to .58, with an average estimate of .30. We concluded that investment traits are overall positively related to adult intellect; the strength of investment–intellect associations differs across trait scales and markers of intellect; and investment traits have a diverse, multifaceted nature. The meta-analysis also identified areas of inquiry that are currently lacking in empirical research. Limitations, implications, and future directions are discussed.

https://www.hungrymindlab.com/wp-content/uploads/2015/10/von-Stumm-and-Ackerman-2012.pdf

Investment and intellect: A review and meta-analysis

Integrity tests have become a prominent predictor within the selection literature over the past few decades. However, some researchers have expressed concerns about the criterion-related validity evidence for such tests because of a perceived lack of methodological rigor within this literature, as well as a heavy reliance on unpublished data from test publishers. In response to these concerns, we meta-analyzed 104 studies (representing 134 independent samples), which were authored by a similar proportion of test publishers and non-publishers, whose conduct was consistent with professional standards for test validation, and whose results were relevant to the validity of integrity-specific scales for predicting individual work behavior. Overall mean observed validity estimates and validity estimates corrected for unreliability in the criterion (respectively) were .12 and .15 for job performance, .13 and .16 for training performance, .26 and .32 for counterproductive work behavior, and .07 and .09 for turnover. Although data on restriction of range were sparse, illustrative corrections for indirect range restriction did increase validities slightly (e.g., from .15 to .18 for job performance). Several variables appeared to moderate relations between integrity tests and the criteria. For example, corrected validities for job performance criteria were larger when based on studies authored by integrity test publishers (.27) than when based on studies from non-publishers (.12). In addition, corrected validities for counterproductive work behavior criteria were larger when based on self-reports (.42) than when based on other-reports (.11) or employee records (.15).

The criterion-related validity of integrity tests: an updated meta-analysis.

This article provides a summary and discussion of major challenges and pitfalls in factor analysis as observed in psychological assessment research, as well as our recommendations within each of these areas. More specifically, we discuss a need to be more careful about item distribution properties in light of their potential impact on model estimation as well as providing a very strong caution against item parceling in the evaluation of psychological test instruments. Moreover, we consider the important issue of estimation, with a particular emphasis on selecting the most appropriate estimator to match the scaling properties of test item indicators. Next, we turn our attention to the issues of model fit and comparison of alternative models with the strong recommendation to allow for theoretical guidance rather than being overly influenced by model fit indices. In addition, since most models in psychological assessment research involve multidimensional items that often do not map neatly onto a priori confirmatory models, we provide recommendations about model respecification. Finally, we end our article with a discussion of alternative forms of model specification that have become particularly popular recently: exploratory structural equation modeling (ESEM) and bifactor modeling. We discuss various important areas of consideration for the applied use of these model specifications, with a conclusion that, whereas ESEM models can offer a useful avenue for the evaluation of internal structure of test items, researchers should be very careful about using bifactor models for this purpose. Instead, we highlight other, more appropriate applications of such models. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Factor analysis in psychological assessment research: Common pitfalls and recommendations.

The NEO Personality Inventory—Revised (NEO PI-R; P. T. Costa, Jr., & R. R. McRae, 1992) measures the 5-factor model of personality (Neuroticism, Extraversion, Openness, Agreeableness, Conscientiousness) and 30 specific personality facets within these domains. Researchers in personnel selection are beginning to use the NEO PI-R to describe the personality characteristics of high-functioning employees, including police officers. Here, 100 field training officers (FTOs) described the “best” entry-level police officers they had supervised, using the NEO PI-R Form R (Observer form). The resulting profile was notable for low Neuroticism, high Extraversion, and high Conscientiousness. NEO PI-R profiles of very high- and very low-performing entry-level officers were then compared. The low-performing group had higher Neuroticism and lower Conscientiousness scores than the high-performing group. The latter group was notable for low Neuroticism and high Conscientiousness scores that were similar to those obtained from the FTO sample. Results are relevant to identifying personality characteristics of high-performing entry-level police officers.

NEO PI-R Personality Characteristics of High-Performing Entry-Level Police Officers

Preemployment psychological evaluation utilizing personality inventories is common in law enforcement settings. The Revised NEO Personality Inventory (NEO PI-R), developed from the five-factor theo...

The Revised NEO Personality Inventory as Predictor of Police Academy Performance.

The Revised NEO Personality Inventory (NEO PI-R) has demonstrated utility in the personnel selection context. Its use in police officer selection has been relatively limited, in part, because there are no published normative data for the NEO PI-R for police officer applicants. The authors present normative data on NEO PI-R domain and facet scores for a large sample (N = 288) of police officer applicants in a large, urban, Midwestern police department who completed the NEO PI-R as part of a preemployment psychological evaluation. Applicants reported low levels of Neuroticism and high levels of Extraversion and Conscientiousness. Neuroticism and Conscientiousness scores were strongly and consistently correlated with the Positive Presentation Management (PPM) research validity scale of the NEO PI-R. Extraversion and Agreeableness scores were moderately and less consistently correlated with PPM. These data may serve as a normative comparison group for professionals and researchers who use or may want to use the NEO PI-R in the police officer selection context.

Revised NEO Personality Inventory normative data for police officer selection.

The utility of personality inventories for predicting successful police officer performance is an important issue in the law enforcement employment selection process. The purpose of the present study is to evaluate the incremental validity of the Minnesota Multiphasic Personality Inventory (MMPI-2), the Inwald Personality Inventory (IPI), and the Revised NEO Personality Inventory (NEO PI-R) for predicting police academy performance of 79 recruits. Results indicate that each inventory contributes significantly to prediction of academic performance in the academy, while only the NEO PI-R predicts physical performance. The addition of the NEO PI-R to selection processes that already incorporate the MMPI-2 and IPI may be useful for enhancing prediction of police officer performance.

The neo pi-r, inwald personality inventory, and mmpi-2 in the prediction of police academy performance: A case for incremental validity

The Inwald Personality Inventory (IPI) was administered to police officer applicants during pre-employment psychological screening. Scores were used to predict applicant performance, as rated by supervisors, after one year of active duty and change in performance over a 10-month period. Performance was significantly predicted by IPI scales, including Family Conflicts, Guardedness, and Driving Violations. These findings support the predictive validity of the IPI and identify specific characteristics of applicants that may influence performance in the field.

Paul Detrick

Papers

NEO PI-R Personality Characteristics of High-Performing Entry-Level Police Officers

The Revised NEO Personality Inventory as Predictor of Police Academy Performance.

Revised NEO Personality Inventory normative data for police officer selection.

The neo pi-r, inwald personality inventory, and mmpi-2 in the prediction of police academy performance: A case for incremental validity

Prediction of police officer performance with the inwald personality inventory