Measurement Models for Reasoned Action Theory

Michael Hennessy, Amy Bleakley and Martin Fishbein

The ANNALS of the American Academy of Political and Social Science, 2012, vol. 640, issue 1, 42-57

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.

Keywords: effect indicators; causal indicators; measurement models; integrative model (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:sae:anname:v:640:y:2012:i:1:p:42-57

DOI: 10.1177/0002716211424709

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