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| Funzionamento Differenziale dell'Item Longitudinale (Longitudinal DIF)× | Teoria della risposta all'item (IRT)× | |
|---|---|---|
| Campo | Psicometria | Psicometria |
| Famiglia | Latent structure | Latent structure |
| Anno di origine≠ | 1980s–2000s | 1952–1968 |
| Ideatore≠ | Multiple contributors; foundational DIF methods by Lord (1980) extended to longitudinal designs | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| Tipo≠ | Item-level bias detection across time | Probabilistic measurement model |
| Fonte seminale≠ | Millsap, R. E., & Kwok, O. M. (2004). Evaluating the impact of partial factorial measurement invariance on selection in two groups. Psychological Methods, 9(1), 93–115. DOI ↗ | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| Alias | longitudinal DIF, DIF across time, temporal DIF, longitudinal item bias | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| Correlati≠ | 6 | 5 |
| Sintesi≠ | Longitudinal differential item functioning detects whether individual test or scale items behave differently across measurement occasions for the same respondents. It extends standard DIF methodology to repeated-measures designs, ensuring that observed change scores genuinely reflect construct change rather than shifts in item characteristics over time. | Item response theory models the probability that a respondent answers an item correctly (or endorses it) as a function of the respondent's latent trait level and the item's own statistical properties — difficulty, discrimination, and guessing. Unlike classical test theory, IRT places persons and items on the same scale, yielding measurement that is sample-independent for items and test-independent for persons. |
| ScholarGateInsieme di dati ↗ |
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