השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| תיאוריית הכללה סודרה× | תורת התגובה לפריט אורדינלית× | |
|---|---|---|
| תחום | פסיכומטריה | פסיכומטריה |
| משפחה | Latent structure | Latent structure |
| שנת המקור≠ | 1963–2001 | 1969 |
| הוגה השיטה≠ | Lee J. Cronbach and Robert L. Brennan | Fumiko Samejima (Graded Response Model, 1969); Gerhard Fischer & Georg Rasch lineage for partial credit |
| סוג≠ | Reliability / generalizability analysis | Probabilistic latent trait model for ordered polytomous responses |
| מקור מכונן≠ | Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826 | Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement, 34(4, Pt. 2), 1–97. link ↗ |
| כינויים | Ordinal G-theory, G-theory for ordinal data, ordinal variance component analysis, G-study for ordered categorical data | polytomous IRT, ordinal IRT models, graded response models, ordinal latent trait models |
| קשורות≠ | 5 | 6 |
| תקציר≠ | Ordinal generalizability theory extends classical G-theory to the analysis of reliability and measurement error when item responses are ordered categorical (e.g., Likert-type) rather than continuous. It partitions score variance into components attributable to persons, facets, and their interactions, while accounting for the discrete, bounded nature of ordinal rating scales. | Ordinal item response theory (ordinal IRT) comprises a family of probabilistic models — most notably the Graded Response Model and the Partial Credit Model — that relate a respondent's standing on a latent trait to the probability of choosing each ordered response category on a polytomous item. It extends classical IRT beyond dichotomous items to the Likert-type and rating-scale items that dominate psychometric measurement. |
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