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| Analisi Ordinale degli Item× | Alpha di Cronbach ordinale× | |
|---|---|---|
| Campo | Psicometria | Psicometria |
| Famiglia | Latent structure | Latent structure |
| Anno di origine≠ | 1950s–1980s | 2007 |
| Ideatore≠ | Classical test theory tradition (Guilford, Nunnally, and others) | Zumbo, Gadermann, and Zeisser |
| Tipo≠ | Item-level diagnostic | Internal consistency reliability coefficient |
| Fonte seminale≠ | 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 for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 21–29. DOI ↗ |
| Alias | item analysis for ordinal data, polytomous item analysis, Likert item analysis, OIA | alpha for ordinal data, polychoric alpha, ordinal reliability coefficient, alpha based on polychoric correlations |
| Correlati≠ | 6 | 3 |
| Sintesi≠ | 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 Cronbach's alpha is a reliability coefficient computed from polychoric or polyserial correlations rather than Pearson correlations, making it appropriate for Likert-type and other ordinal item response data. It corrects the systematic downward bias that standard Cronbach's alpha produces when items are treated as continuous but are actually ordinal. |
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