The Quantitative Analysis of Reasoned Action Theory
Amy Bleakley and
Michael Hennessy
The ANNALS of the American Academy of Political and Social Science, 2012, vol. 640, issue 1, 28-41
Abstract:
This article serves as a guide for conducting statistical analyses in a reasoned action context. Using structural equation modeling concepts, the authors identify two elements of reasoned action data: the structural component relating theoretical variables to one another and a measurement component defining the theoretical constructs. The authors then describe a three-step analytic approach: analyzing the proximal determinants of intention to perform a behavior, analyzing the underlying beliefs, and performing a segmentation analysis for intervention design purposes. In each step, when appropriate, the authors discuss the role of background/precursor variables. The authors conclude by addressing several common analytic issues that may arise when conducting a reasoned action analysis, such as the role of past behavior and testing for moderation.
Keywords: reasoned action theory; integrative model; SEM; intervention design (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:sae:anname:v:640:y:2012:i:1:p:28-41
DOI: 10.1177/0002716211424265
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