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Cited by 1,259

The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.

Personality and Risk‐Taking: Common Bisocial Factors

Zuckerman, Marvin, Kuhlman, D. Michael·2000·Journal of Personality

Abstract

The first part of this article describes a study of the relationships between personality and risk‐taking in six areas: smoking, drinking, drugs, sex, driving, and gambling. The participants, 260 college students, were given self‐report measures of risky behaviors in each of the six areas and the Zuckerman‐ Kuhlman five‐factor personality questionnaire. Generalized risk‐taking (across all six areas) was related to scales for impulsive sensation seeking, aggression, and sociability, but not to scales for neuroticism or activity. Gender differences on risk‐taking were mediated by differences on impulsive sensation seeking. The second part discusses biological traits associated with both risk‐taking and personality, particularly sensation seeking, such as the D4 dopamine receptor gene, the enzyme monoamine oxidase, and augmenting or reducing of the cortical evoked potential. Comparative studies show relationships between biological markers shared with other species and correlated behaviors similar to sensation seeking in humans. A biosocial model of the traits underlying risk‐taking is presented.

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Metadata

Authors
Zuckerman, M., & Kuhlman, D. M.
Venue
Journal of Personality
Publisher
Wiley
Published
2000-12
Volume
68
Issue
6
Pages
999-1029
ISSN
  • 0022-3506 (ISSN-L)
  • 1467-6494
OpenAlex
W2113721692
Cited by
1,259
References
69
FWCI
11.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Personality and Risk‐Taking: Common Bisocial Factors. https://app.cochat.ai/papers/10.1111/1467-6494.00124
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Zuckerman, M., & Kuhlman, D. M. (2000). Personality and Risk‐Taking: Common Bisocial Factors. Journal of Personality. https://doi.org/10.1111/1467-6494.00124

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.