Best-practice recommendations for estimating interaction effects using meta-analysis

被引：137

作者：

Aguinis, Herman ^{[1
]}

Gottfredson, Ryan K. ^{[1
]}

Wright, Thomas A. ^{[2
]}

机构：

[1] Indiana Univ, Dept Management & Entrepreneurship, Kelley Sch Business, Bloomington, IN 47405 USA

[2] Kansas State Univ, Dept Management, Manhattan, KS 66506 USA

来源：

JOURNAL OF ORGANIZATIONAL BEHAVIOR | 2011年 / 32卷 / 08期

关键词：

meta-analysis; methodology; research synthesis; literature review; RANDOM-EFFECTS MODELS; INTERVAL ESTIMATION; STATISTICAL TESTS; SAMPLING VARIANCE; POWER; NEED;

D O I：

10.1002/job.719

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

One of the key advantages of meta-analysis (i.e., a quantitative literature review) over a narrative literature review is that it allows for formal tests of interaction effects-namely, whether the relationship between two variables is contingent upon the value of another (moderator) variable. Interaction effects play a central role in organizational science research because they highlight boundary conditions of a theory: Conditions under which relationships change in strength and/or direction. This article describes procedures for estimating interaction effects using meta-analysis, distills the technical literature for a general readership of organizational science researchers, and includes specific best-practice recommendations regarding actions researchers can take before and after data collection to improve the accuracy of substantive conclusions regarding interaction effects investigated meta-analytically. Copyright (C) 2010 John Wiley & Sons, Ltd.

引用

页码：1033 / 1043

页数：11

共 33 条

[21] A content analysis of the content analysis literature in organization studies - Research themes, data sources, and methodological refinements [J].