ScholarGate
المساعد

قارن الطرق

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

صلاحية المحتوى في الاختبارات التكيفية المحوسبة (CAT)×نظرية الاستجابة للمفردة (IRT)×
المجالالقياس النفسيالقياس النفسي
العائلةLatent structureLatent structure
سنة النشأة1975 / 19801952–1968
صاحب الطريقةLawshe (content validity); Lord & Weiss (CAT framework)Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
النوعValidity evaluation / test designProbabilistic measurement model
المصدر التأسيسيLawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. link ↗Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗
الأسماء البديلةCAT content validity, adaptive item bank content coverage, content balancing in CAT, CAT blueprint validityIRT, latent trait theory, item characteristic curve theory, modern test theory
ذات صلة65
الملخصContent validity in computerized adaptive testing (CAT) ensures that an adaptively administered assessment adequately samples the intended content domain despite delivering only a subset of items to each examinee. It integrates classical content validity methods with CAT-specific item bank design and content balancing algorithms to guarantee representative domain coverage at both the item bank and the individual test level.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 Content Validity · Item Response Theory. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare