標題: Detecting Interaction Effects in Moderated Multiple Regression With Continuous Variables Power and Sample Size Considerations
作者: Shieh, Gwowen
交大名義發表
National Chiao Tung University
關鍵字: interaction;moderator variable;moderating effect;power;sample size
公開日期: 1-七月-2009
摘要: In view of the long-recognized difficulties in detecting interactions among continuous variables in moderated multiple regression analysis, this article aims to address the problem by providing feasible solutions to power calculation and sample size determination for significance test of moderating effects. The proposed approach incorporates the essential factors of strength of moderator effect, magnitude of error variation, and distributional property of predictor and moderator variables into a unified framework. Accordingly, careful consideration across different plausible and practical configurations of the prescribed factors is an important aspect of power and sample size computations in planning moderated multiple regression research. The performance of the suggested procedure and an alternative simplified method is illustrated with detailed numerical studies. The simulation results demonstrate that an acceptable degree of accuracy can be obtained using the recommended method in assessing moderated relationships.
URI: http://dx.doi.org/10.1177/1094428108320370
http://hdl.handle.net/11536/14176
ISSN: 1094-4281
DOI: 10.1177/1094428108320370
期刊: ORGANIZATIONAL RESEARCH METHODS
Volume: 12
Issue: 3
起始頁: 510
結束頁: 528
顯示於類別:期刊論文


文件中的檔案:

  1. 000266916700006.pdf