Is the Pearson r2 biased, and if so, what is the best correction formula?

被引:24
|
作者
Wang, Zhongmiao [1 ]
Thompson, Bruce [1 ]
机构
[1] Texas A&M Univ, Dept Educ Psychol, College Stn, TX 77843 USA
来源
JOURNAL OF EXPERIMENTAL EDUCATION | 2007年 / 75卷 / 02期
关键词
bivariate relationship; correlation; effect sizes; Pearson r; statistical bias;
D O I
10.3200/JEXE.75.2.109-125
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In this study the authors investigated the use of 5 (i.e., Claudy, Ezekiel, Olkin-Pratt, Pratt, and Smith) R-2 correction formulas with the Pearson r(2). The authors estimated adjustment bias and precision under 6 x 3 x 6 conditions (i.e., population rho values of .0, .1, .3, .5, .7, and .9; population shapes normal, skewness = kurtosis = 1, and skewness = -1.5 with kurtosis = 3.5; ns = 10, 20, 40, 60, 100, and 200 respectively). Results indicate that the sample Pearson r(2) is marginally biased at small sample sizes and small population effect sizes, and that the Ezekiel and the Smith R-2 corrections work well in controlling this bias.
引用
收藏
页码:109 / 125
页数:17
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