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Latent structureScale / measurement

多类别信度分析

多类别信度分析用于估计由具有两个以上有序响应类别(例如李克特量表、评定量表或部分计分项目)的项目组成的量表的内部一致性或测量精度。它通过使用多列相关或项目反应理论(IRT)精度指标来修正传统 Cronbach's alpha 中众所周知的低估偏差。

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来源

  1. Green, S. B. & Yang, Y. (2009). Reliability of summed item scores using structural equation modeling: An alternative to coefficient alpha. Psychometrika, 74(1), 155–167. DOI: 10.1007/s11336-008-9099-3
  2. Zumbo, B. D., Gadermann, A. M. & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 21–29. DOI: 10.22237/jmasm/1177992180

如何引用本页

ScholarGate. (2026, June 3). Reliability Analysis for Polytomous Items. ScholarGate. https://scholargate.app/zh/psychometrics/polytomous-reliability-analysis

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ScholarGatePolytomous Reliability Analysis (Reliability Analysis for Polytomous Items). 于 2026-06-15 检索自 https://scholargate.app/zh/psychometrics/polytomous-reliability-analysis · 数据集: https://doi.org/10.5281/zenodo.20539026