Russell C J, Bobko P
Department of Organizational Behavior and Human Resource Management, Purdue University.
J Appl Psychol. 1992 Jun;77(3):336-42. doi: 10.1037/0021-9010.77.3.336.
One of the most commonly accepted models of relationships among three variables in applied industrial and organizational psychology is the simple moderator effect. However, many authors have expressed concern over the general lack of empirical support for interaction effects reported in the literature. We demonstrate in the current sample that use of a continuous, dependent-response scale instead of a discrete, Likert-type scale, causes moderated regression analysis effect sizes to increase an average of 93%. We suggest that use of relatively coarse Likert scales to measure fine dependent responses causes information loss that, although varying widely across subjects, greatly reduces the probability of detecting true interaction effects. Specific recommendations for alternate research strategies are made.
应用工业与组织心理学中三个变量之间关系最常被接受的模型之一是简单调节效应。然而，许多作者对文献中报道的交互效应普遍缺乏实证支持表示担忧。我们在当前样本中证明，使用连续的、依赖反应量表而非离散的李克特式量表，会使调节回归分析效应大小平均增加93%。我们认为，使用相对粗略的李克特量表来测量精细的依赖反应会导致信息丢失，尽管不同受试者的信息丢失程度差异很大，但这大大降低了检测到真正交互效应的概率。我们还提出了替代研究策略的具体建议。
