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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Alfa e Robuste e Kronbahut×Teoria e Përgjigjes së Pjesëve (IRT)×
FushaPsikometriPsikometri
FamiljaLatent structureLatent structure
Viti i origjinës2002–20161952–1968
KrijuesiDerived from Lee J. Cronbach (1951); robust variants formalized by Yuan & Bentler (2002) and Zhang & Yuan (2016)Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
LlojiRobust reliability coefficientProbabilistic measurement model
Burimi themeluesYuan, K.-H., & Bentler, P. M. (2002). On robustness of the normal-theory based asymptotic distributions of three reliability coefficient estimates. Psychometrika, 67(2), 251–268. DOI ↗Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗
Emërtime të tjerarobust alpha, outlier-resistant Cronbach's alpha, robust internal consistency, robust coefficient alphaIRT, latent trait theory, item characteristic curve theory, modern test theory
Të lidhura35
PërmbledhjaRobust Cronbach's alpha adapts the classical internal consistency coefficient to data that violate the assumption of multivariate normality or contain influential outliers. By replacing the conventional sample covariance matrix with a robust counterpart, it yields a reliability estimate that is resistant to distortion by non-normal response distributions, contaminated observations, or small violations of model assumptions common in applied psychometric work.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.
ScholarGateSeti i të dhënave
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ScholarGateKrahasoni metodat: Robust Cronbach's Alpha · Item Response Theory. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare