文章基本信息

标题：Probabilistic Inferences for the Sample Pearson Product Moment Correlation
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作者：Harring, Jeffrey R. ; Wasko, John A.
期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2011
卷号：10
期号：2
页码：8
出版社：Wayne State University
摘要：Fisher’s correlation transformation is commonly used to draw inferences regarding the reliability of tests comprised of dichotomous or polytomous items. It is illustrated theoretically and empirically that omitting test length and difficulty results in inflated Type I error. An empirically unbiased correction is introduced within the transformation that is applicable under any test conditions.
关键词：Correlation coefficients; measurement; test characteristics; reliability; parallel forms; test equivalency