Tang Wan, Yu Qin, Crits-Christoph Paul, Tu Xin M
University of Rochester, Rochester, NY 14642, USA.
J Data Sci. 2009 Jul 1;7(3):313-329.
Conceptually, a moderator is a variable that modifies the effect of a predictor on a response. Analytically, a common approach as used in most moderation analyses is to add analytic interactions involving the predictor and moderator in the form of cross-variable products and test the significance of such terms. The narrow scope of such a procedure is inconsistent with the broader conceptual definition of moderation, leading to confusion in interpretation of study findings. In this paper, we develop a new approach to the analytic procedure that is consistent with the concept of moderation. The proposed framework defines moderation as a process that modifies an existing relationship between the predictor and the outcome, rather than simply a test of a predictor by moderator interaction. The approach is illustrated with data from a real study.
从概念上讲,调节变量是一种改变预测变量对响应变量影响的变量。从分析角度来看,大多数调节分析中常用的一种方法是添加以交叉变量乘积形式涉及预测变量和调节变量的分析性交互作用,并检验这些项的显著性。这种程序的狭窄范围与调节更广泛的概念定义不一致,导致在研究结果的解释上产生混淆。在本文中,我们开发了一种与调节概念一致的分析程序新方法。所提出的框架将调节定义为一个修改预测变量与结果之间现有关系的过程,而不仅仅是对预测变量与调节变量交互作用的检验。通过一项实际研究的数据对该方法进行了说明。