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序数内容效度评估×探索性因子分析(EFA)×
领域心理测量学统计学
方法族Latent structureLatent structure
起源年份2003
提出者Wynd, Schmidt & Schaefer
类型Scale validation / content validityLatent variable / dimension reduction
开创性文献Wynd, C. A., Schmidt, B., & Schaefer, M. A. (2003). Two quantitative approaches for estimating content validity. Western Journal of Nursing Research, 25(5), 508–518. DOI ↗Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗
别名ordinal CVI, Likert-scale content validity, ordinal expert rating validity, graded content validitycommon factor analysis, açımlayıcı faktör analizi, factor analysis
相关44
摘要Ordinal content validity replaces the traditional binary (yes/no) expert relevance judgment with a graded, Likert-type rating scale, allowing richer expert opinion to be captured when evaluating whether scale items adequately represent the intended construct domain.Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance.
ScholarGate数据集
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  2. 2 来源
  3. PUBLISHED
  1. v2
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  3. PUBLISHED

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ScholarGate方法对比: Ordinal Content Validity · EFA. 于 2026-06-17 检索自 https://scholargate.app/zh/compare