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Predicting behaviour towards genetically modified food using implicit and explicit attitudes.

Alexa Spence1, Ellen Townsend

  • 1RASPH, School of Psychology, University of Nottingham, UK. spenceAl@cardiff.ac.uk

The British Journal of Social Psychology
|June 15, 2007
PubMed
Summary
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Implicit and explicit attitudes both predict behavior, with the additive model best explaining outcomes. Most participants showed willingness to try genetically modified (GM) food in certain situations.

Area of Science:

  • Social Psychology
  • Attitude Research

Background:

  • Predictive validity of implicit and explicit attitudes is crucial in social psychology.
  • Three models exist for combining these attitudes: double dissociation, additive, and interactive.

Purpose of the Study:

  • To test the predictive validity of implicit and explicit attitudes on behavior.
  • To determine the best model for combining implicit and explicit attitudes to predict behavior towards genetically modified (GM) food.

Main Methods:

  • Structural equation modeling was employed.
  • Three distinct behavioral measures, varying in spontaneity, were used.
  • Attitudes towards genetically modified (GM) food were assessed.

Main Results:

Related Experiment Videos

  • The additive pattern, where both implicit and explicit attitudes predict behavioral variance, best fit the data.
  • Implicit and explicit attitudes were found to be significant predictors of behavior.
  • A majority of participants expressed willingness to try GM food under specific circumstances.

    • Conclusions:

    • The additive model provides the most accurate framework for understanding how implicit and explicit attitudes influence behavior.
    • Findings suggest a nuanced relationship between attitudes and behavior towards GM food.
    • Understanding attitude combinations is key for predicting real-world behavior.