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| Funzionamento Differenziale degli Item in Forma Breve (Short-Form DIF)× | Teoria della risposta all'item (IRT)× | |
|---|---|---|
| Campo | Psicometria | Psicometria |
| Famiglia | Latent structure | Latent structure |
| Anno di origine≠ | 1970s–1990s (DIF); short-form context developed in parallel with scale abbreviation literature | 1952–1968 |
| Ideatore≠ | Angoff, W. H. and subsequent DIF methodologists | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| Tipo≠ | Item bias / measurement fairness analysis | Probabilistic measurement model |
| Fonte seminale≠ | Millsap, R. E. (2012). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-0-8058-4507-0 | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| Alias | Short-form DIF, abbreviated scale DIF, DIF in short forms, short-scale DIF detection | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| Correlati≠ | 6 | 5 |
| Sintesi≠ | Short-form differential item functioning (DIF) analysis examines whether individual items in an abbreviated scale function equivalently across demographic or subgroup comparisons. When a scale is shortened, retained items must still behave fairly for all relevant groups — DIF analysis verifies this, ensuring that score differences reflect true ability or trait differences rather than item bias. | 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. |
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