標題: Methodological and computational considerations for multiple correlation analysis
作者: Shieh, Gwowen
Kung, Chien-Feng
交大名義發表
National Chiao Tung University
公開日期: 1-十一月-2007
摘要: The squared multiple correlation coefficient has been widely employed to assess the goodness-of-fit of linear regression models in many applications. Although there are numerous published sources that present inferential issues and computing algorithms for multinormal correlation models, the statistical procedure for testing substantive significance by specifying the nonzero-effect null hypothesis has received little attention. This article emphasizes the importance of determining whether the squared multiple correlation coefficient is small or large in comparison with some prescribed standard and develops corresponding Excel worksheets that facilitate the implementation of various aspects of the suggested significance tests. In view of the extensive accessibility of Microsoft Excel software and the ultimate convenience of general-purpose statistical packages, the associated computer routines for interval estimation, power calculation, and sample size determination are also provided for completeness. The statistical methods and available programs of multiple correlation analysis described in this article purport to enhance pedagogical presentation in academic curricula and practical application in psychological research.
URI: http://hdl.handle.net/11536/14314
ISSN: 1554-351X
期刊: BEHAVIOR RESEARCH METHODS
Volume: 39
Issue: 4
起始頁: 731
結束頁: 734
顯示於類別:期刊論文


文件中的檔案:

  1. 000251492800004.pdf