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Meta-analysis is frequently combined with multiple regression or path analysis to examine how the Big Five/Five-Factor Model (FFM) personality traits relate to work outcomes. A common approach in such studies is to construct a synthetic correlation matrix by combining new meta-analyses of FFM-criterion correlations with previously published meta-analytic FFM intercorrelations. Many meta-analytic FFM intercorrelation matrices exist in the literature, with 3 matrices being frequently used in industrial-organizational (I-O) psychology and related fields (i.e.,

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Siblings with higher levels of self-reported restless sleep were more likely to report higher levels of delinquency at ages 16-17, net of observable covariates and unobservable familial confounders. Sibling differences in restless sleep at ages 16-17 were also associated with increases in delinquency at ages 18-19 after controlling for familial confounding and temporal stability in both sleep and delinquent behavior. Findings suggest that perhaps sleep quality, rather than sleep duration, should be the primary target for intervention/pr