TITLE

Using the Integrated Behavioral Model to Predict High-Risk Drinking among College Students

AUTHOR(S)
Braun, Robert E.; Glassman, Tavis; Sheu, Jiunn-Jye; Dake, Joseph; Jordan, Tim; Yingling, Faith
PUB. DATE
August 2014
SOURCE
Journal of Alcohol & Drug Education;Aug2014, Vol. 58 Issue 2, p46
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This study assessed the Integrated Behavioral Model's (IBM) utility in explaining high-risk drinking among college students. A total of 356 participants completed a four-page questionnaire based on the (IBM) theory and their drinking behavior. The results from a path analysis revealed three significant constructs (p<0.05) which predicted intentions to engage in high-risk drinking: experiential attitude (0.34), injunctive norms (0.23), and self-efficacy (-0.28). The IBM explained approximately 45% and 26% of variance in intentions and high-risk drinking, respectively. Although limited in its use thus far, the IBM shows promise in its application regarding high-risk drinking prevention among college students.
ACCESSION #
99538034

 

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