Multi-group Generalizability Theory
Multi-group generalizability theory (MG G-theory) extends classical generalizability theory to estimate and compare variance components — attributable to persons, items, raters, occasions, and their interactions — simultaneously across two or more defined groups. It reveals whether a measurement procedure is equally reliable and generalizable for every group studied, supporting fair and equitable score interpretation.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Brennan, R. L. (2001). Generalizability Theory. Springer. · ISBN 978-0387952826
- Shavelson, R. J. & Webb, N. M. (1989). Generalizability theory: 1973–1988. British Journal of Mathematical and Statistical Psychology, 42(1), 3–27. · DOI 10.1037/0003-066x.44.6.922
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.