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Sample Size Tables for Correlation Analysis with Application in Partial Correlation and Multiple Regression Analysis

机译:相关分析的样本量表及其在偏相关和多元回归分析中的应用

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摘要

Tables for selecting sample size in correlation studies are presented. Some of the tables allow selection of sample size so that r (or r~2, depending on the statistic the researcher plans to interpret) will be within a target interval around the population parameter with probability 95. The intervals are x±0.5, ±1.0, ±1.5 and ±2.0 around the population parameter. Other tables allow selection of sample size to meet a target for power when conducting a 0.5 test of the null hypothesis that a correlation coefficient is zero. Applications of the tables in partial correlation and multiple regression analyses are discussed. SAS and SPSS computer programs are made available to permit researches to select sample size for levels of accuracy, probabilities, and parameter values and for Type I error rates other than those used in constructing the tables.
机译:列出了用于在相关研究中选择样本量的表格。一些表允许选择样本大小,以便r(或r〜2,取决于研究人员计划解释的统计数据)将在总体参数周围的目标区间内,概率为95。该区间为x±0.5,±总体参数的1.0,±1.5和±2.0。其他表格允许在对相关系数为零的零假设进行0.5检验时选择样本数量以满足功效目标。讨论了表格在偏相关和多元回归分析中的应用。可以使用SAS和SPSS计算机程序来进行研究,以选择准确性,概率和参数值水平以及I类错误率(构建表所用的水平除外)的样本大小。

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