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Measurement Models for Reasoned Action Theory

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  • Michael Hennessy
  • Amy Bleakley
  • Martin Fishbein

Abstract

Quantitative researchers distinguish between causal and effect indicators. What are the analytic problems when both types of measures are present in a quantitative reasoned action analysis? To answer this question, the authors use data from a longitudinal study to estimate the association between two constructs central to reasoned action theory: behavioral beliefs and attitudes toward the behavior. The belief items are causal indicators that define a latent variable index while the attitude items are effect indicators that reflect the operation of a latent variable scale. The authors identify the issues when effect and causal indicators are present in a single analysis and conclude that both types of indicators can be incorporated into analyses of data based on the reasoned action approach.

Suggested Citation

  • Michael Hennessy & Amy Bleakley & Martin Fishbein, 2012. "Measurement Models for Reasoned Action Theory," The ANNALS of the American Academy of Political and Social Science, , vol. 640(1), pages 42-57, March.
    • Handle: RePEc:sae:anname:v:640:y:2012:i:1:p:42-57
    DOI: 10.1177/0002716211424709
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    References listed on IDEAS

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    3. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    4. Klaas Sijtsma, 2009. "On the Use, the Misuse, and the Very Limited Usefulness of Cronbach’s Alpha," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 107-120, March.
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    Cited by:

    1. Amy Bleakley & Michael Hennessy, 2012. "The Quantitative Analysis of Reasoned Action Theory," The ANNALS of the American Academy of Political and Social Science, , vol. 640(1), pages 28-41, March.

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