Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Nadharia ya Majibu ya Vipengee ya Fomu Fupi (SF-IRT)× | Nadharia ya Itikio la Kipengee (IRT)× | |
|---|---|---|
| Nyanja | Saikometriki | Saikometriki |
| Familia | Latent structure | Latent structure |
| Mwaka wa asili≠ | 1980s–2000s | 1952–1968 |
| Mwanzilishi≠ | Multiple contributors; IRT adapted to short-form contexts from Lord & Novick (1968) and subsequent applied psychometricians | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| Aina≠ | Latent trait / item calibration model | Probabilistic measurement model |
| Chanzo asilia≠ | Embretson, S. E. & Reise, S. P. (2000). Item Response Theory for Psychologists. Lawrence Erlbaum Associates. ISBN: 978-0805828191 | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| Majina mbadala | SF-IRT, abbreviated scale IRT, short-form calibration, shortened instrument IRT | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| Zinazohusiana≠ | 6 | 5 |
| Muhtasari≠ | Short-form item response theory applies IRT calibration and scoring to abbreviated or shortened psychological scales. It uses item information functions to guide which items to retain from a full-length instrument, then estimates latent trait scores from the reduced item set while preserving psychometric rigor and linkage to the full-scale metric. | 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. |
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