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Robust McDonald's Omega

Robust 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.

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Robust McDonald's Omega Reliability Coefficient

Taksonomisk metoderegistrering · latent-structure / psychometrics

McDonald, R. P. (1999). Test theory: A unified treatment. Lawrence Erlbaum Associates. · ISBN 978-0805830408
Dunn, T. J., Baguley, T., & Brunsden, V. (2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British Journal of Psychology, 105(3), 399–412. · DOI 10.1111/bjop.12046

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