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Stephen D. Benning

Researcher at University of Nevada, Las Vegas

Publications -  57
Citations -  5004

Stephen D. Benning is an academic researcher from University of Nevada, Las Vegas. The author has contributed to research in topics: Psychopathy & Psychopathic Personality Inventory. The author has an hindex of 22, co-authored 52 publications receiving 4577 citations. Previous affiliations of Stephen D. Benning include Vanderbilt University & University of Amsterdam.

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Linking Antisocial Behavior, Substance Use, and Personality: An Integrative Quantitative Model of the Adult Externalizing Spectrum

TL;DR: The model and assessment instrument that emerged from the research shows how externalizing phenomena are organized hierarchically and cover a wide range of individual differences.
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Factor structure of the psychopathic personality inventory: validity and implications for clinical assessment.

TL;DR: A factor analysis of the subscales of the Psychopathic Personality Inventory yielded evidence for 2 factors, including positive correlations with antisocial behavior and substance abuse, negative correlations with socioeconomic status and verbal ability, and personality characteristics including high negative emotionally and low behavioral constraint.
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Mesolimbic dopamine reward system hypersensitivity in individuals with psychopathic traits

TL;DR: These findings suggest that neurochemical and neurophysiological hyper-reactivity of the dopaminergic reward system may comprise a neural substrate for impulsive-antisocial behavior and substance abuse in psychopathy.
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Estimating facets of psychopathy from normal personality traits: a step toward community epidemiological investigations.

TL;DR: In three samples consisting of community and undergraduate men and women and incarcerated men, the criterion validity of two distinct factors of psychopathy embodied in the Psychopathic Personality Inventory as indexed by primary trait scales from the Multidimensional Personality Questionnaire was examined.
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Justify your alpha

Daniel Lakens, +98 more
TL;DR: In response to recommendations to redefine statistical significance to P ≤ 0.005, it is proposed that researchers should transparently report and justify all choices they make when designing a study, including the alpha level.