差异(会计)
计划行为理论
合理行为理论
心理学
解释的变化
社会心理学
度量(数据仓库)
计量经济学
动作(物理)
统计
数学
控制(管理)
计算机科学
经济
人工智能
数据挖掘
会计
物理
量子力学
标识
DOI:10.1111/j.1559-1816.1998.tb01679.x
摘要
Meta‐analyses of research using the theory of reasoned action (TRA) and the theory of planned behavior (TPB) show that these models explain on average between 40% and 50% of the variance in intention, and between 19% and 38% of the variance in behavior. This paper evaluates the performance of these models in predicting and explaining intentions and behavior. It discusses the distinction between prediction and explanation, the different standards of comparison against which predictive performance can be judged, the use of percentage of variance explained as a measure of effect size, and presents 9 reasons why the models do not always predict as well as we would like them to do.
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