Latent structureScale / measurement
Generalizability Theory (G-Theory)
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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Sources
- 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 ↗
- Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826
Related methods
Referenced by
Bayesian Cronbach's alphaCAT Generalizability TheoryLongitudinal Cronbach's AlphaLongitudinal Generalizability TheoryMulti-group Generalizability TheoryMulti-group Reliability AnalysisMultilevel Generalizability TheoryMultilevel Test-Retest ReliabilityOrdinal Generalizability TheoryPolytomous scale developmentShort form generalizability theoryTest EquatingTest-Retest Reliability