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Modifying Spearman's Attenuation Equation to Yield Partial Corrections for Measurement Error-With Application to Sample Size Calculations

机译:修改Spearman的衰减方程,产生测量误差的部分校正 - 应用于样本大小计算

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摘要

Spearman's correction for attenuation (measurement error) corrects a correlation coefficient for measurement errors in either-or-both of two variables, and follows from the assumptions of classical test theory. Spearman's equation removes all measurement error from a correlation coefficient which translates into increasing the reliability of either-or-both of two variables to 1.0. In this inquiry, Spearman's correction is modified to allow partial removal of measurement error from either-or-both of two variables being correlated. The practical utility of this partial correction is demonstrated in its use to explore increasing the power of statistical tests by increasing sample size versus increasing the reliability of the dependent variable for an experiment. Other applied uses are mentioned.
机译:Spearman对衰减的校正(测量误差)校正了两个变量中的两个变量中的测量误差的相关系数,并从经典测试理论的假设中遵循。 Spearman的等式从相关系数中移除所有测量误差,这转化为增加两个变量的或两个变量的可靠性至1.0。 在此查询中,修改了Spearman的校正,以允许从两个变量中的两个变量中的两种变量部分地移除测量误差。 这种部分校正的实用实用性在使用中探讨了通过增加样本大小而探索统计测试的力量,而是增加实验的因变量的可靠性。 提到了其他应用的用途。

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