Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Ανάλυση Ερωτήσεων (Κλασική Θεωρία Δοκιμασιών)× | Θεωρία Απόκρισης Ερωτήσεων (IRT)× | |
|---|---|---|
| Πεδίο | Ψυχομετρία | Ψυχομετρία |
| Οικογένεια | Latent structure | Latent structure |
| Έτος προέλευσης≠ | 1979 | 1952–1968 |
| Δημιουργός≠ | 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) |
| Τύπος≠ | Descriptive / psychometric screening | Probabilistic measurement model |
| Θεμελιώδης πηγή≠ | 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 ↗ |
| Εναλλακτικές ονομασίες≠ | Madde Analizi (Klasik Test Kuramı), CTT item analysis, classical item analysis | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| Συναφείς | 5 | 5 |
| Σύνοψη≠ | 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. |
| ScholarGateΣύνολο δεδομένων ↗ |
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