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| 다항 McDonald's 오메가× | 신뢰도 분석 (Ordinal Reliability Analysis)× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1999 (omega); 2007 (polytomous extension) | 2007 |
| 창시자≠ | Roderick P. McDonald (omega); extension for polytomous items by Zumbo, Gadermann & Zeisser | Bruno D. Zumbo and colleagues |
| 유형≠ | Reliability coefficient | Internal consistency reliability estimation |
| 원전≠ | 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 ↗ | 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 ↗ |
| 별칭 | ordinal omega, omega for polytomous items, categorical omega, omega polychoric | ordinal alpha, polychoric reliability, reliability for ordinal scales, ORA |
| 관련≠ | 3 | 5 |
| 요약≠ | Polytomous 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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