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CAT Generalizability Theory×Test-Retest Reliabilitet×
FagområdePsykometriPsykometri
FamilieLatent structureLatent structure
Oprindelsesår1972 (G-theory); CAT application 1990s–2000s1904
OphavspersonLee J. Cronbach (G-theory); applied to CAT by Brennan and othersKarl Pearson
TypeReliability / generalizability analysisReliability estimate
Oprindelig kildeBrennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill. ISBN: 978-0070478497
AliasserCAT G-theory, adaptive test generalizability, G-theory in CAT, computerized adaptive generalizability analysisstability reliability, temporal stability, repeatability coefficient, TRT reliability
Relaterede64
ResuméGeneralizability theory (G-theory) applied to computerized adaptive testing (CAT) evaluates the dependability of adaptive test scores by decomposing score variance across measurement facets such as persons, items, and occasions. Unlike classical test theory, G-theory quantifies multiple simultaneous sources of measurement error, offering a richer reliability picture for adaptively administered assessments.Test-retest reliability quantifies the temporal consistency of a measure by correlating scores obtained from the same participants on two separate occasions. It is a cornerstone of psychometric validation, directly indicating whether a scale or instrument yields stable scores when the underlying construct has not changed.
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ScholarGateSammenlign metoder: CAT Generalizability Theory · Test-Retest Reliability. Hentet 2026-06-17 fra https://scholargate.app/da/compare