Multilevel Item Response Theory
Multilevel item response theory (MLIRT) joins two powerful frameworks: an IRT measurement model that turns item responses into a latent ability, and a multilevel structural model that explains how that ability varies across nested groups such as classrooms, schools, or countries. Instead of first scoring a test and then running a multilevel regression on the scores, MLIRT does both at once, so that measurement error in ability is properly carried into the group-level analysis. It is the rigorous way to study how student and school characteristics relate to a latent trait measured by a test.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Ramani ya mbinu
Jirani ya mbinu zinazohusiana — chagua nodi ili kuchunguza.
Vyanzo
- Fox, J.-P. (2010). Bayesian Item Response Modeling: Theory and Applications. Springer. DOI: 10.1007/978-1-4419-0742-4 ↗
- De Boeck, P., & Wilson, M. (Eds.). (2004). Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach. Springer. ISBN: 9780387402758
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 22). Multilevel Item Response Theory Models for Clustered Test Data. ScholarGate. https://scholargate.app/sw/education/multilevel-irt
Mbinu ipi?
Weka mbinu hii kando ya jamaa zake wa karibu na uzisome bega kwa bega — maktaba huweka vitabu mezani; uamuzi ni wako.
- Educational Hierarchical Linear ModelingEducation↔ linganisha
- Nadharia ya Itikio la Kipengee (IRT)Saikometriki↔ linganisha
- Multilevel ModelingTakwimu za Utafiti↔ linganisha
- Mofumo wa RaschSaikometriki↔ linganisha
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