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Krahasoni metodat

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

Besueshmëria Ripërsëritëse Shumë-nivelëshe×Teoria e Përgjithësimit (Teoria-G)×
FushaPsikometriPsikometri
FamiljaLatent structureLatent structure
Viti i origjinës1979 (ICC foundation); multilevel extension: 1990s–2000s1963–1972
KrijuesiShrout & Fleiss (ICC foundation); multilevel extension by Goldstein, Snijders, and othersLee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam
LlojiReliability estimation under hierarchical dataVariance-components reliability model
Burimi themeluesShrout, P. E. & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86(2), 420–428. DOI ↗Cronbach, L. J., Gleser, G. C., Nanda, H. & Rajaratnam, N. (1972). The Dependability of Behavioral Measurements: Theory of Generalizability for Scores and Profiles. Wiley. link ↗
Emërtime të tjerahierarchical test-retest reliability, multilevel ICC reliability, nested test-retest reliability, ML-TRT reliabilityG-theory, G-study / D-study framework, variance components reliability
Të lidhura54
PërmbledhjaMultilevel test-retest reliability estimates how consistently a measurement instrument produces the same scores across repeated administrations when observations are nested within higher-level units — such as patients within clinics or students within classrooms. It partitions total score variance across levels using intraclass correlation coefficients derived from multilevel models.Generalizability Theory is a psychometric framework that decomposes observed score variance into multiple sources — persons, items, raters, occasions, and their interactions — using analysis of variance. It replaces the single reliability coefficient of classical test theory with a family of coefficients that tell researchers how well scores generalize across different measurement conditions.
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ScholarGateKrahasoni metodat: Multilevel Test-Retest Reliability · Generalizability Theory. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare