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Polytomisk McDonald's Omega×Ordinal Pålidelighedsanalyse×
FagområdePsykometriPsykometri
FamilieLatent structureLatent structure
Oprindelsesår1999 (omega); 2007 (polytomous extension)2007
OphavspersonRoderick P. McDonald (omega); extension for polytomous items by Zumbo, Gadermann & ZeisserBruno D. Zumbo and colleagues
TypeReliability coefficientInternal consistency reliability estimation
Oprindelig kildeZumbo, B. D., Gadermann, A. M., & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta as measures of internal consistency for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 21–29. DOI ↗Zumbo, B. D., Gadermann, A. M. & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta as measures of internal consistency for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 21–29. DOI ↗
Aliasserordinal omega, omega for polytomous items, categorical omega, omega polychoricordinal alpha, polychoric reliability, reliability for ordinal scales, ORA
Relaterede35
ResuméPolytomous McDonald's omega estimates the internal consistency reliability of a scale composed of ordinal (polytomous) items — such as Likert-type responses — by computing omega from a factor model fitted to the polychoric correlation matrix rather than the Pearson correlation matrix, yielding estimates that are unbiased by the discreteness of item responses.Ordinal reliability analysis estimates the internal consistency of scales whose items are measured on ordered-category (Likert-type) response formats. By basing computations on polychoric correlations rather than Pearson correlations, it corrects for the attenuation that standard Cronbach's alpha produces when responses are discrete and non-normal.
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ScholarGateSammenlign metoder: Polytomous McDonald's omega · Ordinal Reliability Analysis. Hentet 2026-06-18 fra https://scholargate.app/da/compare