Moderation in Management Research: What, Why, When, and How
Moderation in Management Research: What, Why, When, and How
复制标题
DOI：
10.1007/s10869-013-9308-7
复制
发表时间：
2014-03-01
影响因子：
4.8
通讯作者：
Dawson, Jeremy F.
中科院分区：
文献类型：
--
作者：
Dawson, Jeremy F.
管理学、心理学和其他学科中的许多理论都依赖于调节变量：那些影响其他两个变量之间关系的强度或性质的变量。尽管这种效应几乎无处不在，但测试和解释它们的方法并不总是很好地理解。本文介绍了适度的概念，并描述了如何对一系列模型类型进行调节效应的测试和解释，从与正常结果的直接双向交互开始，移动到三方和曲线交互，然后是具有非正态结果的模型，包括二元逻辑回归和泊松回归。特别地，解释和探索这些后一种模型类型的方法，如简单的坡度分析和坡度差异试验，被描述。然后给出了12个关于测试和解释调节效应的常见问题的答案。
Many theories in management, psychology, and other disciplines rely on moderating variables: those which affect the strength or nature of the relationship between two other variables. Despite the near-ubiquitous nature of such effects, the methods for testing and interpreting them are not always well understood. This article introduces the concept of moderation and describes how moderator effects are tested and interpreted for a series of model types, beginning with straightforward two-way interactions with Normal outcomes, moving to three-way and curvilinear interactions, and then to models with non-Normal outcomes including binary logistic regression and Poisson regression. In particular, methods of interpreting and probing these latter model types, such as simple slope analysis and slope difference tests, are described. It then gives answers to twelve frequently asked questions about testing and interpreting moderator effects.