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Longitudinal Generalizability Theory/Evidence
Method evidence record

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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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Longitudinal Generalizability Theory
Taxonomic method record · latent-structure / psychometrics
  • 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. · URL
  • Brennan, R. L. (2001). Generalizability Theory. Springer. · ISBN 978-0387952826
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Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketConfirmatory factor analysismachine-suggested · Relational suggestion, not evidence.Same method familyEFAmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketGeneralizability Theorymachine-suggested · Relational suggestion, not evidence.See alsoMultilevel Modelingmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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