方法对比

	多分类量表开发	概化理论（G-Theory）
领域	心理测量学	心理测量学
方法族	Latent structure	Latent structure
起源年份	1969–1982	1963–1972
提出者	Samejima, F.; Masters, G. N. (independently)	Lee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam
类型	Psychometric scale construction	Variance-components reliability model
开创性文献	Embretson, S. E. & Reise, S. P. (2000). Item Response Theory for Psychologists. Lawrence Erlbaum Associates. ISBN: 978-0805828191	Cronbach, L. J., Gleser, G. C., Nanda, H. & Rajaratnam, N. (1972). The Dependability of Behavioral Measurements: Theory of Generalizability for Scores and Profiles. Wiley.
别名	polytomous item development, ordered-category scale construction, rating scale development, multi-category item development	G-theory, G-study / D-study framework, variance components reliability
相关	6	4
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.	Generalizability Theory is a psychometric framework that decomposes observed score variance into multiple sources — persons, items, raters, occasions, and their interactions — using analysis of variance. It replaces the single reliability coefficient of classical test theory with a family of coefficients that tell researchers how well scores generalize across different measurement conditions.