Latent structureScale / measurement

Bayesian McDonald's Omega

Bayesian McDonald's omega applies Bayesian statistical estimation to the omega reliability coefficient, yielding a full posterior distribution over omega rather than a single point estimate. This provides credible intervals and probabilistic uncertainty quantification for the reliability of a composite or scale score, making it especially useful for small samples and complex factor structures.

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Sources

  1. Kelley, K. & Pornprasertmanit, S. (2016). Confidence intervals for population reliability coefficients: Evaluation of methods, recommendations, and software for composite measures. Psychological Methods, 21(1), 69–92. DOI: 10.1037/a0040086
  2. McDonald, R. P. (1999). Test theory: A unified treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830750

Related methods

ScholarGateBayesian McDonald's omega (Bayesian Estimation of McDonald's Omega Reliability Coefficient). Retrieved 2026-06-04 from https://scholargate.app/en/psychometrics/bayesian-mcdonalds-omega