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Робастная омега Макдональда×Конфирматорный факторный анализ (КФА)×
ОбластьПсихометрияПсихометрия
СемействоLatent structureLatent structure
Год появления1999 (omega); robust variant formalized in 2000s–2010s1969
Автор методаRoderick P. McDonald (omega); robust extension via robust SEM estimators (MLR, DWLS)Karl Gustav Jöreskog
ТипReliability coefficientHypothesis-testing latent variable model
Основополагающий источникMcDonald, R. P. (1999). Test theory: A unified treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830408Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
Другие названияrobust omega, omega total (robust), robust omega-total, robust composite reliabilityCFA, confirmatory FA, measurement model, restricted factor analysis
Связанные44
СводкаRobust McDonald's omega estimates the internal consistency reliability of a composite scale using factor-analytic loadings obtained through robust estimation methods (such as MLR or DWLS). Unlike standard omega or Cronbach's alpha, it remains accurate when item distributions are non-normal, skewed, or when the sample contains influential outliers — conditions common in applied psychological and educational measurement.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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ScholarGateСравнение методов: Robust McDonald's Omega · Confirmatory factor analysis. Получено 2026-06-19 из https://scholargate.app/ru/compare