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| 서열형 문항 분석× | 신뢰도 분석 (Ordinal Reliability Analysis)× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1950s–1980s | 2007 |
| 창시자≠ | Classical test theory tradition (Guilford, Nunnally, and others) | Bruno D. Zumbo and colleagues |
| 유형≠ | Item-level diagnostic | Internal consistency reliability estimation |
| 원전≠ | Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill. ISBN: 978-0070474659 | 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 | item analysis for ordinal data, polytomous item analysis, Likert item analysis, OIA | ordinal alpha, polychoric reliability, reliability for ordinal scales, ORA |
| 관련≠ | 6 | 5 |
| 요약≠ | Ordinal item analysis evaluates each individual item in a rating-scale or Likert-type instrument using descriptive and correlational statistics suited to ordered categorical response formats. It guides item selection and refinement by flagging items with problematic difficulty, poor discrimination, or low corrected item-total correlations before reliability and validity studies proceed. | 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. |
| ScholarGate데이터셋 ↗ |
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