Use Omega Rather than Cronbach's Alpha for Estimating Reliability. But horizontal ellipsis
Use Omega Rather than Cronbach's Alpha for Estimating Reliability. But horizontal ellipsis
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DOI：
10.1080/19312458.2020.1718629
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发表时间：
2020-02-10
影响因子：
11.4
通讯作者：
Coutts, Jacob J.
中科院分区：
文献类型：
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作者：
Hayes, Andrew F.;Coutts, Jacob J.
克朗巴赫α（α）是一种广泛使用的可靠性测量方法，用于量化多项测量量表生成的总分或平均值中存在的随机测量误差量。然而，方法学家警告说，相对于更一般的形式，α并不是可靠性的最佳衡量标准。除其他原因外，在许多流行的统计程序中，计算并不作为一个选项，需要从验证性因素分析（CFA）中加载项目，这可能阻碍了更广泛的采用。在讨论了alpha与AMOS的关系之后，我们举例说明了使用两个结构方程建模程序（Mplus和AMOS）和R的MBESS软件包的计算。然后，我们描述了一个SPSS和SAS（OMEGA）的宏，它以两种方式进行计算，而不依赖于使用CFA估计负载或误差方差。我们表明，它产生的估计，几乎相同的项目负载和误差方差使用基于CFA的估计。我们还讨论了使用欧米茄宏的某些形式的项目分析和简短的形式建设的基础上删除的项目从一个较长的规模。
Cronbach's alpha (alpha) is a widely-used measure of reliability used to quantify the amount of random measurement error that exists in a sum score or average generated by a multi-item measurement scale. Yet methodologists have warned that alpha is not an optimal measure of reliability relative to its more general form, McDonald's omega (). Among other reasons, that the computation of is not available as an option in many popular statistics programs and requires items loadings from a confirmatory factor analysis (CFA) have probably hindered more widespread adoption. After a bit of discussion of alpha versus , we illustrate the computation of using two structural equation modeling programs (Mplus and AMOS) and the MBESS package for R. We then describe a macro for SPSS and SAS (OMEGA) that calculates in two ways without relying on the estimation of loadings or error variances using CFA. We show that it produces estimates of that are nearly identical to when using CFA-based estimates of item loadings and error variances. We also discuss the use of the OMEGA macro for certain forms of item analysis and brief form construction based on the removal of items from a longer scale.