Latent structureScale / measurement
Longitudinal Generalizability Theory
Longitudinal generalizability theory extends classical G-theory to repeated-measures and longitudinal designs, decomposing score variance across persons, measurement occasions, raters, and items simultaneously. It quantifies how reliably scores can be generalized across time points, evaluators, and conditions — information that is invisible to cross-sectional reliability indices.
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Sources
- Webb, N. M., Shavelson, R. J., & Harrigan, E. H. (2007). Generalizability theory: Overview. In C. R. Rao & S. Sinharay (Eds.), Handbook of Statistics, Vol. 26: Psychometrics (pp. 1–43). Elsevier. DOI: 10.1016/S0169-7161(06)26001-6 ↗
- Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826