MODERATED REGRESSION-ANALYSIS AND LIKERT SCALES - TOO COARSE FOR COMFORT
成果类型：
Article
署名作者：
RUSSELL, CJ; BOBKO, P
署名单位：
Purdue University System; Purdue University; Rutgers University System; Rutgers University New Brunswick
刊物名称：
JOURNAL OF APPLIED PSYCHOLOGY
ISSN/ISSBN：
0021-9010
DOI：
10.1037/0021-9010.77.3.336
发表日期：
1992
页码：
336-342
关键词：
摘要：
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.
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