Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Mitmergiline üksikpunkti funktsioneerimise (MG-DIF) analüüs× | Item Response Theory (IRT)× | |
|---|---|---|
| Valdkond | Psühhomeetria | Psühhomeetria |
| Perekond | Latent structure | Latent structure |
| Tekkeaasta≠ | 1980s-1990s | 1952–1968 |
| Looja≠ | Shealy & Stout (SIBTEST framework); Lord (IRT-based DIF) | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| Tüüp≠ | Measurement bias detection | Probabilistic measurement model |
| Algallikas≠ | Millsap, R. E. (2012). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-1848728936 | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| Rööpnimetused | MG-DIF, multi-group DIF, differential item functioning across groups, multiple-group DIF analysis | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| Seotud≠ | 6 | 5 |
| Kokkuvõte≠ | Multi-group differential item functioning examines whether test or scale items function equivalently across three or more distinct groups — such as gender, ethnicity, or country — after matching respondents on the underlying trait being measured. Items that behave differently across groups threaten fair measurement and valid score comparisons. | 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. |
| ScholarGateAndmestik ↗ |
|
|