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Конфирматорный факторный анализ (КФА)×Межэкспертная надежность (каппа Коэна и ICC)×
ОбластьПсихометрияПсихометрия
СемействоLatent structureLatent structure
Год появления19691960 (kappa); 1979 (ICC)
Автор методаKarl Gustav JöreskogCohen (kappa, 1960); Shrout & Fleiss (ICC, 1979)
ТипHypothesis-testing latent variable modelReliability / agreement analysis
Основополагающий источникJöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46. DOI ↗
Другие названияCFA, confirmatory FA, measurement model, restricted factor analysisinter-rater reliability, interrater agreement, rater agreement, Değerlendiriciler Arası Güvenilirlik (Cohen's κ, ICC)
Связанные46
СводкаConfirmatory 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.Interrater reliability quantifies the degree to which two or more independent raters produce consistent scores when evaluating the same individuals or products. The family encompasses Cohen's kappa, introduced in 1960 for categorical judgments, and the Intraclass Correlation Coefficient (ICC) for continuous ratings, together spanning most measurement scenarios encountered in behavioral, health, and educational research.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Confirmatory factor analysis · Interrater Reliability. Получено 2026-06-18 из https://scholargate.app/ru/compare