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Related Experiment Video

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Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
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Published on: April 18, 2017

Measurement Models for Reasoned Action Theory.

Michael Hennessy1, Amy Bleakley, Martin Fishbein

  • 1Annenberg Public Policy Center, University of Pennsylvania, 202 S. 36 Street, Philadelphia, PA 19104.

The Annals of the American Academy of Political and Social Science
|December 18, 2012
PubMed
Summary
This summary is machine-generated.

This study addresses analytical challenges when using both causal and effect indicators in reasoned action analyses. Findings show that both indicator types can be effectively integrated into quantitative research models.

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Area of Science:

  • Quantitative Psychology
  • Behavioral Research Methods

Background:

  • Quantitative research differentiates between causal and effect indicators.
  • The reasoned-action approach utilizes specific theoretical constructs like behavioral beliefs and attitudes.
  • Integrating diverse indicator types presents unique analytical challenges.

Purpose of the Study:

  • To investigate the analytical problems arising from the simultaneous presence of causal and effect indicators within quantitative reasoned action analyses.
  • To explore the association between behavioral beliefs (causal indicators) and attitudes (effect indicators) in a longitudinal study.

Main Methods:

  • Utilized longitudinal study data to estimate associations between key reasoned action theory constructs.
  • Distinguished between belief items as causal indicators defining a latent variable index.
  • Characterized attitude items as effect indicators reflecting a latent variable scale.

Main Results:

  • Identified specific analytical issues associated with including both causal and effect indicators in a single model.
  • Demonstrated the feasibility of analyzing data incorporating both indicator types within the reasoned action framework.

Conclusions:

  • Both causal and effect indicators can be successfully incorporated into quantitative analyses based on the reasoned action approach.
  • The study provides methodological insights for researchers employing the reasoned action model with diverse measurement indicators.