Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Vienumu analīze (klasiskā testa teorija)× | Vienuma atbildes teorija (IRT)× | |
|---|---|---|
| Nozare | Psihometrija | Psihometrija |
| Saime | Latent structure | Latent structure |
| Izcelsmes gads≠ | 1979 | 1952–1968 |
| Autors≠ | Classical Test Theory tradition; foundational texts by Allen & Yen (1979) and Crocker & Algina (1986) | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| Tips≠ | Descriptive / psychometric screening | Probabilistic measurement model |
| Pirmavots≠ | Allen, M. J. & Yen, W. M. (1979). Introduction to Measurement Theory. Brooks/Cole. ISBN: 978-0818501333 | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| Citi nosaukumi≠ | Madde Analizi (Klasik Test Kuramı), CTT item analysis, classical item analysis | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| Saistītās | 5 | 5 |
| Kopsavilkums≠ | Item analysis is the foundational psychometric procedure for evaluating the quality of individual test or scale items within the Classical Test Theory (CTT) framework, as systematised by Allen and Yen (1979) and Crocker and Algina (1986). It produces an item difficulty index, an item discrimination index, and a distractor analysis for each item, enabling test developers to identify items that are too easy, too hard, or failing to separate high- and low-ability respondents. | 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 ↗ |
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