Publication Cover
Sociological Spectrum
Mid-South Sociological Association
Volume 25, 2005 - Issue 3
6,887
Views
64
CrossRef citations to date
0
Altmetric
Original Articles

COLLEGE STUDENTS AND BINGE DRINKING: AN EVALUATION OF SOCIAL LEARNING THEORY

, &
Pages 255-272 | Published online: 24 Feb 2007
 

ABSTRACT

Although binge drinking is a prevalent and often problematic behavior among college students, there has been relatively little sociological research on this phenomenon. This study evaluates the applicability of social learning theory (Akers Citation1985 Citation2000) to the binge drinking of a sample of approximately 1,500 students enrolled at four institutions of higher education. The social learning model explains approximately 45% of the variance in the binge drinking of these students. The results indicate that differential peer associations are by far the best predictor of this behavior. Other significant predictors include the definitions that students hold about binge drinking as well as their perceptions of the direct effects of alcohol consumption. These social learning variables also mediate the effects of demographic variables (i.e., gender, race, fraternity/sorority membership) on binge drinking. The results are discussed with respect to programs designed to prevent binge drinking. Possible directions for future research in this area are also suggested.

Acknowledgments

The authors would like to thank the anonymous reviewers for their helpful comments and suggestions.

Notes

*p < .05

**p < .01

*p < .05

**p < .01

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 304.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.