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简明信度分析×McDonald's Hierarchical Omega (ωh)×
领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份1990s–2000s1999
提出者Conventional practice; codified notably by Smith, McCarthy & Anderson (2000) and Stanton et al. (2002)Roderick P. McDonald
类型Scale development / psychometric evaluationReliability / composite score validity coefficient
开创性文献Stanton, J. M., Sinar, E. F., Balzer, W. K. & Smith, P. C. (2002). Issues and strategies for reducing the length of self-report scales. Personnel Psychology, 55(1), 167–194. DOI ↗Reise, S. P., Scheines, R., Widaman, K. F. & Haviland, M. G. (2013). Multidimensionality and structural coefficient bias in structural equation modeling: A bifactor perspective. Educational and Psychological Measurement, 73(1), 5–26. DOI ↗
别名abbreviated scale reliability, short-form validation, scale shortening, item reduction reliabilityomega hierarchical, omega-h, bifactor omega, composite score validity coefficient
相关65
摘要Short-form reliability analysis evaluates whether an abbreviated version of a psychological scale maintains acceptable internal consistency, validity, and structural integrity after items are removed. It is used in survey and assessment research to create briefer instruments that reduce respondent burden without sacrificing measurement quality.McDonald's hierarchical omega (ωh) is a coefficient derived from a bifactor confirmatory factor model that quantifies what proportion of total-score variance is attributable to a single general factor rather than to group-specific factors or item-level error. Introduced by Roderick P. McDonald (1999) and elaborated for bifactor applications by Reise and colleagues (2013) and Rodriguez and colleagues (2016), it is the primary index used in psychometrics to evaluate whether a composite total score is a defensible summary of a multidimensional scale.
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ScholarGate方法对比: Short-form reliability analysis · McDonald's Omega. 于 2026-06-19 检索自 https://scholargate.app/zh/compare