A Primer on Reliability via Coefficient Alpha and Omega

M. A. Padilla
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引用次数: 10

Abstract

Reliability is an important property to established for a measurement instrument.  There are several types of reliabilities and each with its own purposes.  However, whether warranted or not, internal consistency via coefficient alpha has been the standard for establishing the reliability of a measurement instrument for over 60 years.  During this time, coefficient omega was proposed as an alternative, but has remained obscured.  Nonetheless, neither coefficient has been further developed since their inception until recent years.  A clearer discussion of the three classical true score model forms and their relationship to reliability, computational methods, and the asymptotic distribution of coefficient alpha provided the foundation for fruitful confidence interval research for each coefficient.  In this respect, the normal theory bootstrap CI is the most optimal for both coefficients.  Even so, there is still more promising research to pursue.
基于Alpha和Omega系数的可靠性入门
可靠性是测量仪器的一项重要性能。有几种类型的可靠性,每种类型都有自己的目的。然而,无论是否有保证,内部一致性通过系数alpha已经超过60年建立测量仪器的可靠性的标准。在此期间,ω系数被提议作为替代,但仍然模糊不清。尽管如此,这两个系数直到最近几年才得到进一步发展。对三种经典真值模型形式及其与信度、计算方法和系数α的渐近分布的关系进行了更清晰的讨论,为每个系数的可信区间研究提供了富有成果的基础。在这方面,正态理论自举CI对两个系数都是最优的。即便如此,仍有更多有希望的研究有待进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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