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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Meetodikaart
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Allikad
- 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. link ↗
- 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 ↗
Kuidas sellele lehele viidata
ScholarGate. (2026, June 3). Multilevel Generalizability Theory. ScholarGate. https://scholargate.app/et/psychometrics/multilevel-generalizability-theory
Milline meetod?
Aseta see meetod oma lähimate sugulaste kõrvale ja loe neid kõrvuti — raamatukogu laob raamatud lauale; valik on sinu.
- Kinnitav faktorianalüüs (CFA)Psühhomeetria↔ võrdle
- Üldistatavuse teooria (G-teooria)Psühhomeetria↔ võrdle
- Item Response Theory (IRT)Psühhomeetria↔ võrdle
- Multilevel ModelingUurimisstatistika↔ võrdle
Similar methods
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