This meta-analysis builds upon a previous meta-analysis by (1) including 65 per cent more studies that have over twice the sample size to estimate the relationships between emotional intelligence (EI) and job performance; (2) using more current meta-analytical studies for estimates of relationships among personality variables and for cognitive ability and job performance; (3) using the three-stream approach for classifying EI research; (4) performing tests for differences among streams of EI research and their relationships with personality and cognitive intelligence; (5) using latest statistical procedures such as dominance analysis; and (6) testing for publication bias. We classified EI studies into three streams: (1) ability-based models that use objective test items; (2) self-report or peer-report measures based on the four-branch model of EI; and (3) “mixed models” of emotional competencies. The three streams have corrected correlations ranging from 0.24 to 0.30 with job performance. The three streams correlated differently with cognitive ability and with neuroticism, extraversion, openness, agreeableness, and conscientiousness. Streams 2 and 3 have the largest incremental validity beyond cognitive ability and the Five Factor Model (FFM). Dominance analysis demonstrated that all three streams of EI exhibited substantial relative importance in the presence of FFM and intelligence when predicting job performance. Publication bias had negligible influence on observed effect sizes. The results support the overall validity of EI. Copyright © 2010 John Wiley & Sons, Ltd.

Note: Correction added on 22 July 2010 after first publication online on 29 June 2010. The affiliations for Ronald H. Humphrey and Thomas H. Hawver have been corrected in this version of the article.

The relation between emotional intelligence and job performance: A meta‐analysis

A comprehensive meta-analysis of the relationship between Emotional Intelligence and health

A meta-analytic investigation of the relationship between emotional intelligence and health

Violent offenders: Appraising and managing risk, 2nd ed.

Actuarial risk assessment tools are used extensively to predict future violence, but previous studies comparing their predictive accuracies have produced inconsistent findings as a result of various methodological issues. We conducted meta-analyses of the effect sizes of 9 commonly used risk assessment tools and their subscales to compare their predictive efficacies for violence. The effect sizes were extracted from 28 original reports published between 1999 and 2008, which assessed the predictive accuracy of more than one tool. We used a within-subject design to improve statistical power and multilevel regression models to disentangle random effects of variation between studies and tools and to adjust for study features. All 9 tools and their subscales predicted violence at about the same moderate level of predictive efficacy with the exception of Psychopathy Checklist—Revised (PCL-R) Factor 1, which predicted violence only at chance level among men. Approximately 25% of the total variance was due to differences between tools, whereas approximately 85% of heterogeneity between studies was explained by methodological features (age, length of follow-up, different types of violent outcome, sex, and sex-related interactions). Sex-differentiated efficacy was found for a small number of the tools. If the intention is only to predict future violence, then the 9 tools are essentially interchangeable; the selection of which tool to use in practice should depend on what other functions the tool can perform rather than on its efficacy in predicting violence. The moderate level of predictive accuracy of these tools suggests that they should not be used solely for some criminal justice decision making that requires a very high level of accuracy such as preventive detention.

The Efficacy of Violence Prediction: A Meta-Analytic Comparison of Nine Risk Assessment Tools.

Recent research has demonstrated that antisocial attitudes and antisocial associates are among the better predictors of antisocial behavior. This study tests the predictive validity of the Measures...

The Measures of Criminal Attitudes and Associates (MCAA): The Prediction of General and Violent Recidivism

The validity of the Bar-On emotional intelligence quotient in an offender population

This study examines the differential relationship of criminogenic domains to violent and nonviolent recidivism in a sample of predominantly violent offenders. In addition, the criminogenic domains are examined through a static-stable variable dichotomy. The results support previously published retrospective studies that found different domains associated with violent and nonviolent offending. In addition, the results showed that stable variables add to the prediction of both violent and nonviolent behavior after accounting for the most salient static variables. The results are discussed within the context of improving risk prediction.

Predicting Violent Behavior through A Static-Stable Variable Lens

Typically, research conducted on the cross-validation or generalization of risk assessment schemes focuses on the aggregate score accuracy of the schemes within the new sample or population. Often overlooked when the schemes are examined in their aggregate form is the performance of the individual items. This study looks at the association between the items of the HCR-20 (C. D. Webster, K. S. Eaves, D. Douglas, & S. D. Wintrup, 1995) and the Violence Risk Appraisal Guide (VRAG;C. D. Webster, G. T. Harris, M. E. Rice, C. Cormier, & V. L. Quinsey, 1994) and violent recidivism in a sample of predominantly violent offenders. The results show that a number of the items from each scale do not distinguish between violent recidivists and nonrecidivists and that the presence of these items potentially reduces the predictive accuracy of the instruments. In addition, the inclusion of items that do not discriminate between recidivists and nonrecidivists potentially undermines the validity of the risk assessment process. Discussion centers on the application of prediction schemes and their individual risk factors in forensic practice.

The validity of violence risk estimates: An issue of item performance.

Accurate assessment of criminal attributions can assist in explaining crime and identifying offender treatment targets. The current study examines the relationship between a new method of assessing the cognition of criminal attributes, the Criminal Attribution Inventory (CRAI) and a measure of socially desirable responding. 300 participants including incarcerated offenders, released offenders, sex offenders, and university students participated in the current study. Results indicate minimal relationships between socially desirable responding and the CRAI. In a fake-good testing situation, the faking index had appropriate sensitivity, specificity, and positive and negative predictive power in identifying fake-good responses. The CRAI’s instructional set of general observation as opposed to self-representation appears to limit socially desirable responding and also allows the CRAI to be administered to nonoffender populations.

Toni Hemmati

Papers

The Measures of Criminal Attitudes and Associates (MCAA): The Prediction of General and Violent Recidivism

The validity of the Bar-On emotional intelligence quotient in an offender population

Predicting Violent Behavior through A Static-Stable Variable Lens

The validity of violence risk estimates: An issue of item performance.

The Generalized Instructional Set of the Criminal Attribution Inventory (CRAI): Socially Desirable Responding and Faking