A Closed-Form Alternative for Estimating ω Reliability under Unidimensionality

Gregory R. Hancock; Ji An

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A Closed-Form Alternative for Estimating ω Reliability under Unidimensionality

机译：闭合替代方案，用于估计在单向下的Ω可靠性

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摘要

As an alternative to Cronbach's α for estimating scale reliability, McDonald's ω has attracted increased attention within the methodological community for its less stringent measurement assumptions. Notwithstanding, ω is still seldom used by practitioners, likely due to its unavailability in popular software packages (e.g., SPSS) and the need for confirmatory factor analysis (CFA) parameter estimates for its computation. This study proposes and evaluates an easily-calculated ω estimate that does not rely on factor analysis, which is shown to be highly comparable to CFA-based ω estimates and thus can be used as a more accessible computational alternative for practitioners, especially if programmed into popular software packages.

机译：作为Cronbach的α的替代方案，用于估计规模可靠性，麦当劳的ω在方法界内引起了增加的关注，以获得其严格的测量假设。尽管如此，从业者仍然很少使用，这可能是由于其在流行的软件包（例如，SPSS）中的不可用，并且需要确认因子分析（CFA）参数估计的计算。本研究提出并评估了不依赖于因子分析的易计算的Ω估计，其显示与基于CFA的Ω估计值高，因此可以用作从业者的更可访问的计算替代品，特别是如果编程为流行的软件包。

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来源
《Measurement》 |2020年第4期|1-14|共14页
作者
Gregory R. Hancock; Ji An;
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作者单位

Department of Human Development and Quantitative Methodology University of Maryland;

Department of Human Development and Quantitative Methodology University of Maryland;

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收录信息美国《科学引文索引》(SCI);
原文格式 PDF
正文语种 eng
中图分类
关键词
McDonald's ω; scale reliability; Cronbach's α; unidimensionality; internal consistency; congeneric;

机译：麦当劳的ω;规模可靠性;Cronbach的α;单向性;内部一致性;Congeneric.;

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A Closed-Form Alternative for Estimating ω Reliability under Unidimensionality

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