השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניתוח פריטים אורדינלי× | ניתוח גורמים סדרתי חקרני× | |
|---|---|---|
| תחום | פסיכומטריה | פסיכומטריה |
| משפחה | Latent structure | Latent structure |
| שנת המקור≠ | 1950s–1980s | 1978–1984 |
| הוגה השיטה≠ | Classical test theory tradition (Guilford, Nunnally, and others) | Bengt Muthén |
| סוג≠ | Item-level diagnostic | Latent variable / dimension reduction |
| מקור מכונן≠ | Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill. ISBN: 978-0070474659 | Flora, D. B. & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491. DOI ↗ |
| כינויים | item analysis for ordinal data, polytomous item analysis, Likert item analysis, OIA | ordinal factor analysis, polychoric EFA, categorical EFA, EFA for ordinal data |
| קשורות≠ | 6 | 5 |
| תקציר≠ | 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 exploratory factor analysis discovers latent factors underlying a set of ordinal items — typically Likert scales — by computing polychoric correlations among the items and then applying a weighted least squares estimator. It avoids the distortions that arise when continuous EFA methods are naively applied to ordered categorical responses. |
| ScholarGateמערך נתונים ↗ |
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