Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Īsās formas diferenciālā vienumu funkcionēšana (Īsās formas DIF)× | Vienuma atbildes teorija (IRT)× | |
|---|---|---|
| Nozare | Psihometrija | Psihometrija |
| Saime | Latent structure | Latent structure |
| Izcelsmes gads≠ | 1970s–1990s (DIF); short-form context developed in parallel with scale abbreviation literature | 1952–1968 |
| Autors≠ | Angoff, W. H. and subsequent DIF methodologists | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| Tips≠ | Item bias / measurement fairness analysis | Probabilistic measurement model |
| Pirmavots≠ | 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 ↗ |
| Citi nosaukumi | 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 |
| Saistītās≠ | 6 | 5 |
| Kopsavilkums≠ | 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. |
| ScholarGateDatu kopa ↗ |
|
|