Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uundaji wa Kipimo cha Upimaji unaobadilika kwa Kompyuta× | Nadharia ya Itikio la Kipengee (IRT)× | |
|---|---|---|
| Nyanja | Saikometriki | Saikometriki |
| Familia | Latent structure | Latent structure |
| Mwaka wa asili≠ | 1970s–1980s | 1952–1968 |
| Mwanzilishi≠ | Frederic Lord (IRT foundations); CAT systems developed at ETS and ACT in the 1970s–1980s | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| Aina≠ | Measurement design and test construction | Probabilistic measurement model |
| Chanzo asilia≠ | Wainer, H., Dorans, N. J., Flaugher, R., Green, B. F., Mislevy, R. J., Steinberg, L., & Thissen, D. (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| Majina mbadala | CAT scale construction, adaptive test development, computerized adaptive testing scale design, CAT item bank development | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| Zinazohusiana | 5 | 5 |
| Muhtasari≠ | Computerized adaptive test (CAT) scale development is the process of constructing, calibrating, and validating a large item bank such that the assessment algorithm can select items tailored to each examinee's estimated ability or trait level in real time. The result is a measurement instrument that achieves high precision with fewer items than a conventional fixed-form test. | 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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