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On robusiness of the normal-theory based asymptotic distributions of three reliability coefficient estimates

机译:基于正态理论的三个可靠性系数估计的渐近分布

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摘要

This paper studies the asymptotic distributions of three reliability coefficient estimates: Sample coefficient alpha, the reliability estimate of a composite score following a factor analysis, and the estimate of the maximal reliability of a linear combination of item scores following a factor analysis. Results indicate that the asymptotic distribution for each of the coefficient estimates, obtained based on a normal sampling distribution, is still valid within a large class of nonnormal distributions. Therefore, a formula for calculating the standard error of the sample coefficient alpha, recently obtained by van Zyl, Neudecker and Nel, applies to other reliability coefficients and can still be used even with skewed and kurtotic data such as are typical in the social and behavioral sciences.
机译:本文研究了三个可靠性系数估计的渐近分布:样本系数α,经过因子分析的综合评分的可靠性估计以及经过因子分析的项目评分线性组合的最大可靠性的估计。结果表明,基于正态采样分布获得的每个系数估计的渐近分布在一大类非正态分布中仍然有效。因此,最近由van Zyl,Neudecker和Nel获得的用于计算样本系数α的标准误差的公式适用于其他可靠性系数,即使对于偏斜和峰度数据(如在社交和行为中通常使用的数据)也可以使用。科学。

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