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Article
Analyzing Predictors of Drinking and Driving Among Gender Cohorts Within a College Sample
American Journal of Criminal Justice
  • Justin Hoyle, Georgia Southern University
  • Bryan Lee Miller, Georgia Southern University
  • John Stogner, University of North Carolina at Charlotte
  • Chad Posick, Georgia Southern University
  • Brenda Blackwell, Georgia Southern University
Document Type
Article
Publication Date
12-1-2018
DOI
10.1007/s12103-017-9431-5
Abstract

The current study focuses on predominant predictors associated with men’s and women’s engagement in driving under the influence (DUI) in an attempt to determine whether gender-specific interventions would be more affective at reducing impaired vehicle operation. A male-only subsample (n = 863) and a female-only subsample (n = 975) from a survey administered at a large Southeastern university containing self-reported measures of DUI were used to evaluate gender differences in motivations and correlates of DUI behavior. A series of logistic regressions containing indicators drawn from theories of deviant behavior (e.g., Akers’ social learning theory (SLT) and Gottfredson and Hirshi’s low self-control (LSC) theory) yield results indicating that differential association and imitation, both factors associated with SLT, are significant predictors for both gender cohorts’ DUI behavior. Low self- control was a significant predictor within female-only models, but not the final male-only models. This suggests that peer associations and modeling may be targets of intervention generally, but that, as it relates to DUIs, women may particularly benefit from programs focused at limiting impulsivity and risk-taking behavior as these are components of Gottfredson and Hirschi’s LSC construct.

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Citation Information
Justin Hoyle, Bryan Lee Miller, John Stogner, Chad Posick, et al.. "Analyzing Predictors of Drinking and Driving Among Gender Cohorts Within a College Sample" American Journal of Criminal Justice Vol. 43 Iss. 4 (2018) p. 754 - 767 ISSN: 1936-1351
Available at: http://works.bepress.com/chad_posick/108/