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| Робастний аналіз елементів× | Теорія реакцій на завдання (IRT)× | |
|---|---|---|
| Галузь | Психометрія | Психометрія |
| Родина | Latent structure | Latent structure |
| Рік появи≠ | 1980s–2000s | 1952–1968 |
| Автор методу≠ | Robust methods tradition (Huber, Hampel, Tukey); applied to item analysis by Wilcox and colleagues | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| Тип≠ | Diagnostic / item-level evaluation | Probabilistic measurement model |
| Основоположне джерело≠ | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| Інші назви≠ | robust item statistics, outlier-resistant item analysis, robust classical item analysis | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| Пов'язані | 5 | 5 |
| Підсумок≠ | Robust item analysis applies outlier-resistant statistical methods to the evaluation of individual test or scale items. Instead of classical means and Pearson correlations — both sensitive to extreme scores — it uses trimmed means, Winsorized correlations, or M-estimators to obtain item difficulty and item-total discrimination indices that remain stable when respondent distributions are skewed or contaminated by outliers. | 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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