ScholarGate
دستیار

مقایسهٔ روش‌ها

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

نظریه پاسخ به سنجش گروهی (MG-IRT)×تحلیل عاملی تأییدی چندگروهی (MG-CFA)×
حوزهروان‌سنجیروان‌سنجی
خانوادهLatent structureLatent structure
سال پیدایش1990s1971
پدیدآورMultiple contributors; formalized by Birnbaum (1968) for IRT; multi-group extensions developed through 1980s–1990sKarl Jöreskog
نوعLatent trait / measurement invarianceMeasurement model / invariance test
منبع بنیادینEmbretson, S. E. & Reise, S. P. (2000). Item Response Theory for Psychologists. Lawrence Erlbaum Associates. ISBN: 978-0805828191Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. DOI ↗
نام‌های دیگرMG-IRT, multiple-group IRT, multi-group latent trait model, IRT across groupsMG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA
مرتبط66
خلاصهMulti-group item response theory fits IRT models simultaneously across two or more defined groups — such as males and females, or different cultural samples — to determine whether item parameters are invariant across those groups. It is the primary IRT-based framework for testing measurement equivalence and detecting differential item functioning (DIF) at the model level.Multi-group confirmatory factor analysis tests whether a measurement model holds equivalently across two or more groups — such as cultures, genders, or time points. By imposing increasingly stringent equality constraints and comparing model fit, it determines whether comparisons of latent mean scores are justified.
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 response theory · Multi-group confirmatory factor analysis. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare