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Predicting undergraduates' intentions to drink.

R J Budd, C P Spencer

    Journal of Studies on Alcohol
    |March 1, 1984
    PubMed
    Summary
    This summary is machine-generated.

    This study revised Fishbein's model to better predict drinking intentions in college students, finding attitudes and social norms significantly influence behavior, especially in women. The revised model successfully predicted intentions, highlighting gender differences.

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    Area of Science:

    • Psychology
    • Social Psychology
    • Behavioral Science

    Background:

    • Understanding factors influencing drinking behavior is crucial in public health.
    • Fishbein's model provides a framework for examining the link between attitudes, beliefs, and behavior.
    • Previous models may not fully capture the nuances of intention formation, particularly regarding gender differences.

    Purpose of the Study:

    • To revise Fishbein's model to better predict drinking intentions.
    • To investigate sex-linked differences in motivation to drink.
    • To explore the relationship between attitudes, social normative beliefs, and behavioral intentions.

    Main Methods:

    • A revised Fishbein's model was employed.
    • 101 college students (53 women) completed questionnaires.

    Related Experiment Videos

  • 10 students (5 women) were interviewed to identify salient social referents.

    • Main Results:

    • Attitudes and social normative beliefs (SNB) significantly correlated with ideal behavioral intentions (IBI).
    • IBI predicted actual intentions to drink, accounting for most of the variance.
    • The revised model showed a direct effect of attitudes on women's drinking intentions, supporting the model's revision.

    Conclusions:

    • The revised Fishbein's model effectively predicts intentions to drink.
    • The model highlights gender differences in the relationship between attitudes and drinking intentions.
    • Ideal behavioral intentions function differently from actual intentions, suggesting a distinct role in behavior prediction.