The Quantitative Analysis of Reasoned Action Theory
The Quantitative Analysis of Reasoned Action Theory
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DOI：
10.1177/0002716211424265
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发表时间：
2012-03-01
影响因子：
2.8
通讯作者：
Hennessy, Michael
中科院分区：
文献类型：
--
作者：
Bleakley, Amy;Hennessy, Michael
这篇文章作为一个指导进行统计分析，在一个合理的行动背景。使用结构方程模型的概念，作者确定了两个要素的推理行动数据：结构组件相关的理论变量彼此和测量组件定义的理论结构。然后，作者描述了一个三步的分析方法：分析意图执行行为的近端决定因素，分析潜在的信念，并进行干预设计目的的分割分析。在每一步中，作者在适当的时候讨论了背景/前兆变量的作用。最后，作者提出了在进行理性行为分析时可能出现的几个常见分析问题，例如过去行为的作用和适度测试。
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.