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Multilevel Generalizability Theory/Evidence
Method evidence record

Multilevel Generalizability Theory

Multilevel generalizability theory extends classical G-theory to measurement designs where observations are nested within higher-level units — for example, items nested within raters, or students nested within classrooms. It decomposes score variance into components attributable to persons, facets, and their interactions across hierarchical levels, enabling precise estimation of measurement precision in complex, real-world assessment settings.

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

Multilevel Generalizability Theory
Taxonomic method record · latent-structure / psychometrics
  • Briggs, D. C. & Wilson, M. (2003). An introduction to multidimensional measurement using Rasch models and generalizability theory. Journal of Applied Measurement, 4(1), 1–19. · URL
  • Webb, N. M., Shavelson, R. J. & Haertel, E. H. (2006). Reliability coefficients and generalizability theory. Handbook of Statistics, 26, 81–124. · DOI 10.1016/S0169-7161(06)26004-8
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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.Taxonomic bucketGeneralizability Theorymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketItem Response Theorymachine-suggested · Relational suggestion, not evidence.See alsoMultilevel Modelingmachine-suggested · Relational suggestion, not evidence.

Evidence status

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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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