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多分类量表开发×验证性因子分析(CFA)×
领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份1969–19821969
提出者Samejima, F.; Masters, G. N. (independently)Karl Gustav Jöreskog
类型Psychometric scale constructionHypothesis-testing latent variable model
开创性文献Embretson, S. E. & Reise, S. P. (2000). Item Response Theory for Psychologists. Lawrence Erlbaum Associates. ISBN: 978-0805828191Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
别名polytomous item development, ordered-category scale construction, rating scale development, multi-category item developmentCFA, confirmatory FA, measurement model, restricted factor analysis
相关64
摘要Polytomous scale development is the systematic construction and validation of measurement instruments whose items have three or more ordered response categories — such as Likert-type, rating, or partial-credit items. It applies polytomous item response theory models or ordinal factor analysis methods to evaluate item quality, estimate latent trait levels, and build a psychometrically sound scale.Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.
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ScholarGate方法对比: Polytomous scale development · Confirmatory factor analysis. 于 2026-06-17 检索自 https://scholargate.app/zh/compare