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Тестирање мерења инваријантности×Konfirmatorna faktorska analiza (CFA)×Analiza diferencijalnog funkcionisanja stavki (DIF)×Modeliranje strukturalnih jednačina (SEM)×
OblastPsihometrijaStatistikaPsihometrijaStatistika
PorodicaLatent structureLatent structureLatent structureLatent structure
Godina nastanka2000196919881970
TvoracVandenberg & LanceKarl JöreskogPaul W. Holland & Dorothy T. Thayer (Mantel-Haenszel approach, 1988)Karl Jöreskog (LISREL framework, 1970s)
TipMulti-group confirmatory factor analysis procedureConfirmatory latent variable modelItem-level fairness / measurement equivalence analysisLatent variable / causal modeling
Temeljni izvorVandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature. Organizational Research Methods, 3(1), 4–70. DOI ↗Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363Holland, P. W. & Thayer, D. T. (1988). Differential Item Performance and the Mantel-Haenszel Procedure. ETS Research Report Series. link ↗Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
Drugi naziviFactorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm DeğişmezliğiDoğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement modelMadde Yanlılık Analizi (DIF — Differential Item Functioning), item bias analysis, Mantel-Haenszel DIF, Lord chi-square DIFYapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling
Srodne3445
SažetakMeasurement invariance testing is a sequence of nested confirmatory factor analysis (CFA) models that examines whether a psychological scale measures the same latent construct in the same way across distinct groups or time points. Systematized and popularized by Vandenberg and Lance (2000), the procedure tests a hierarchy of constraints — from identical factor patterns to identical item intercepts — so that researchers can justify meaningful group comparisons on latent means.Confirmatory factor analysis tests whether a researcher-specified factor structure fits the observed data. Formalised by Karl Jöreskog in 1969, it is the measurement-model step within structural equation modelling and is the standard tool for validating the factorial structure of scales and questionnaires before comparing groups or estimating latent relationships.Differential Item Functioning analysis examines whether examinees from different groups — such as gender, ethnicity, or language background — who have the same underlying ability respond differently to a test item. First formalised by Holland and Thayer in 1988 via the Mantel-Haenszel procedure, it is the principal tool in modern test development for detecting and removing item bias.Structural equation modeling is a multivariate statistical framework that simultaneously estimates a measurement model — relating observed indicators to latent constructs — and a structural model specifying directional or reciprocal relationships among those constructs. Rooted in the LISREL tradition developed by Karl Jöreskog in the 1970s, SEM is the standard tool for testing complex theoretical models in the social, behavioural, and management sciences.
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ScholarGateUporedite metode: Measurement Invariance · CFA · DIF Analysis · SEM. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare