Сравнение методов

	Инвариантность измерений компьютеризированного адаптивного тестирования	Тестирование инвариантности измерений
Область	Психометрия	Психометрия
Семейство	Latent structure	Latent structure
Год появления	1990s–2000s	2000
Автор метода	Building on Meredith (1993) for invariance and Lord (1980) for adaptive testing	Vandenberg & Lance
Тип	Measurement equivalence testing in adaptive testing contexts	Multi-group confirmatory factor analysis procedure
Основополагающий источник	Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-0805864946	Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature. Organizational Research Methods, 3(1), 4–70.
Другие названия	CAT measurement invariance, adaptive test invariance, CAT MI, measurement equivalence in CAT	Factorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
Связанные	6	3
Сводка	Computerized adaptive test measurement invariance evaluates whether a CAT instrument measures the same latent construct with the same psychometric properties across different groups (e.g., gender, language, clinical vs. community) or time points. It combines IRT-based adaptive test frameworks with measurement equivalence testing to ensure fair and comparable score interpretation.	Measurement invariance testing is a sequence of nested confirmatory factor analysis (CFA) models that examines whether a psychological scale measures the same latent construct in the same way across distinct groups or time points. Systematized and popularized by Vandenberg and Lance (2000), the procedure tests a hierarchy of constraints — from identical factor patterns to identical item intercepts — so that researchers can justify meaningful group comparisons on latent means.