ScholarGate
المساعد

قارن الطرق

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

نموذج العامل الثنائي (العوامل العامة والخاصة)×معامل موثوقية أوميغا (ω) لماكدونالد×
المجالالقياس النفسيالقياس النفسي
العائلةLatent structureLatent structure
سنة النشأة19371999
صاحب الطريقةHolzinger & Swineford (1937); modern revival by Reise (2012)Roderick P. McDonald
النوعConfirmatory latent variable modelReliability coefficient / latent variable model
المصدر التأسيسيReise, S. P. (2012). The Rediscovery of Bifactor Measurement Models. Multivariate Behavioral Research, 47(5), 667–696. DOI ↗McDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830750
الأسماء البديلةBifaktör Modeli — Genel ve Spesifik Faktörler, hierarchical factor model, general-specific factor model, Schmid-Leiman modelomega reliability, ω coefficient, omega total, omega hierarchical
ذات صلة66
الملخصThe bifactor measurement model specifies that every indicator loads simultaneously on a single general factor and on one of several specific (group) factors. Formally introduced by Holzinger and Swineford in 1937 and brought into mainstream psychometrics by Reise (2012), it is now the standard tool for evaluating whether a multidimensional scale can legitimately yield a single composite score.McDonald's omega is a factor-analysis-based reliability coefficient introduced by Roderick P. McDonald (1999) that quantifies the internal consistency of a composite score without requiring the restrictive assumption that all items contribute equally to the latent factor. It yields two complementary indices: ω_total, which captures overall reliability of the sum score, and ω_hierarchical (ωh), which reports how much of the composite's variance is explained specifically by a single general factor.
ScholarGateمجموعة البيانات
  1. v1
  2. 2 المصادر
  3. PUBLISHED
  1. v1
  2. 2 المصادر
  3. PUBLISHED

انتقل إلى البحث تنزيل الشرائح

ScholarGateقارن الطرق: Bifactor Model · McDonald's Omega. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare