ScholarGate
المساعد

قارن الطرق

راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.

تحليل موثوقية الاختبار التكيفي المحوسب×نظرية الاستجابة للمفردة (IRT)×
المجالالقياس النفسيالقياس النفسي
العائلةLatent structureLatent structure
سنة النشأة1970s–1980s1952–1968
صاحب الطريقةDavid J. Weiss and IRT psychometriciansFrederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
النوعReliability estimation under adaptive testingProbabilistic measurement model
المصدر التأسيسيWeiss, D. J. (1984). Application of computerized adaptive testing to educational problems. Journal of Educational Measurement, 21(4), 361–375. DOI ↗Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗
الأسماء البديلةCAT reliability, adaptive test reliability, IRT-based reliability estimation, marginal reliability in CATIRT, latent trait theory, item characteristic curve theory, modern test theory
ذات صلة45
الملخصCAT reliability analysis quantifies measurement precision in computerized adaptive tests where each examinee receives a unique, individually tailored subset of items. Rather than a single classical coefficient, it uses item response theory to express precision as conditional standard error of measurement at each ability level, and marginal reliability as a global summary across the ability distribution.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.
ScholarGateمجموعة البيانات
  1. v1
  2. 2 المصادر
  3. PUBLISHED
  1. v1
  2. 2 المصادر
  3. PUBLISHED

انتقل إلى البحث تنزيل الشرائح

ScholarGateقارن الطرق: Computerized adaptive test reliability analysis · Item Response Theory. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare