ScholarGate
دستیار

مقایسهٔ روش‌ها

روش‌های انتخابی خود را کنار هم مرور کنید؛ ردیف‌های متفاوت برجسته شده‌اند.

تحلیل گویه چندگروهی×نظریه پاسخ به سنجش (IRT)×
حوزهروان‌سنجیروان‌سنجی
خانوادهLatent structureLatent structure
سال پیدایش19861952–1968
پدیدآورClassical test theory tradition; systematised by Crocker & Algina (1986)Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
نوعComparative item-level analysisProbabilistic measurement model
منبع بنیادینCrocker, L. & Algina, J. (1986). Introduction to Classical and Modern Test Theory. Holt, Rinehart and Winston. ISBN: 978-0030616341Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗
نام‌های دیگرMGIA, group-comparative item analysis, subgroup item analysis, cross-group item analysisIRT, latent trait theory, item characteristic curve theory, modern test theory
مرتبط65
خلاصهMulti-group item analysis computes classical item statistics — difficulty, discrimination, and corrected item-total correlations — separately for each subgroup in a sample and then compares those statistics across groups. It is a standard diagnostic step in scale development and test fairness evaluation, revealing items that behave differently for men versus women, across age cohorts, or across cultural groups before more formal DIF testing.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.
ScholarGateمجموعه‌داده
  1. v1
  2. 2 منابع
  3. PUBLISHED
  1. v1
  2. 2 منابع
  3. PUBLISHED

رفتن به جست‌وجو دریافت اسلایدها

ScholarGateمقایسهٔ روش‌ها: Multi-group item analysis · Item Response Theory. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare