Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Angoff Standard Setting× | Теория отклика на задания (IRT)× | |
|---|---|---|
| Область≠ | Education | Психометрия |
| Семейство≠ | Process / pipeline | Latent structure |
| Год появления≠ | 1971 | 1952–1968 |
| Автор метода≠ | William H. Angoff | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| Тип≠ | Test-centered standard-setting procedure for establishing cut scores | Probabilistic measurement model |
| Основополагающий источник≠ | Cizek, G. J., & Bunch, M. B. (2007). Standard Setting: A Guide to Establishing and Evaluating Performance Standards on Tests. Sage. ISBN: 9781412916820 | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| Другие названия | Angoff Method, Modified Angoff Method, Yes/No Angoff, Angoff Cut-Score Procedure | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| Связанные≠ | 3 | 5 |
| Сводка≠ | The Angoff method is a test-centered procedure for establishing a passing score (cut score) on an examination. A panel of content experts conceptualizes a 'borderline' or minimally competent examinee and, for each item, estimates the probability that such an examinee would answer it correctly. Summing those probabilities yields a recommended cut score for each panelist, and averaging across panelists and discussion rounds produces the performance standard. It is among the most widely used standard-setting methods in licensure, certification, and K-12 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. |
| ScholarGateНабор данных ↗ |
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