Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Багатогруповий аналіз елементів× | Теорія реакцій на завдання (IRT)× | |
|---|---|---|
| Галузь | Психометрія | Психометрія |
| Родина | Latent structure | Latent structure |
| Рік появи≠ | 1986 | 1952–1968 |
| Автор методу≠ | Classical test theory tradition; systematised by Crocker & Algina (1986) | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| Тип≠ | Comparative item-level analysis | Probabilistic measurement model |
| Основоположне джерело≠ | Crocker, L. & Algina, J. (1986). Introduction to Classical and Modern Test Theory. Holt, Rinehart and Winston. ISBN: 978-0030616341 | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| Інші назви | MGIA, group-comparative item analysis, subgroup item analysis, cross-group item analysis | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| Пов'язані≠ | 6 | 5 |
| Підсумок≠ | Multi-group item analysis computes classical item statistics — difficulty, discrimination, and corrected item-total correlations — separately for each subgroup in a sample and then compares those statistics across groups. It is a standard diagnostic step in scale development and test fairness evaluation, revealing items that behave differently for men versus women, across age cohorts, or across cultural groups before more formal DIF testing. | 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. |
| ScholarGateНабір даних ↗ |
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