Mend It or End It: Redirecting the Search for Interactions in the Organizational Sciences

被引:78
作者
Murphy, Kevin R. [1 ]
Russell, Craig J. [2 ]
机构
[1] Colorado State Univ, Dept Psychol, Ft Collins, CO 80523 USA
[2] Univ Oklahoma, Price Coll Business, Norman, OK 73019 USA
关键词
interactions; measurement models; ANOVA methods; quantitative research; linear techniques including categorical dependent variables; quantitative; MODERATED MULTIPLE-REGRESSION; STRATEGIC MANAGEMENT RESEARCH; BEST-PRACTICE RECOMMENDATIONS; JOB CHARACTERISTICS MODEL; FUNCTIONAL MEASUREMENT; STATISTICAL POWER; LINEAR-MODELS; EFFECT SIZE; VARIABLES; WORK;
D O I
10.1177/1094428115625322
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Moderator variables are widely hypothesized and studied in the organizational sciences, but the empirical track record of moderator variable studies is very discouraging. These studies often lack sufficient statistical power and the type of designs and measures common in organizational research virtually guarantee that the moderator effects that are found are usually extremely small. We recommend that future attempts to identify and estimate moderator effects should be limited to situations where better measures, stronger research designs and a realistic cost-benefit assessment are available. Researchers should avoid moderator hypotheses in contexts where the measures and research designs employed do not allow them to be tested in a meaningful way, and should be cautious about interpreting the very small effects they are likely to find.
引用
收藏
页码:549 / 573
页数:25
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