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Multilevel Rasch Model/Evidence
Method evidence record

Multilevel Rasch Model

The multilevel Rasch model extends the standard Rasch model to data with a nested structure — for example, students within classrooms within schools — by embedding person ability parameters inside a hierarchical linear model. It yields item difficulty estimates on a logit scale while simultaneously partitioning person-ability variance across cluster levels and correcting standard errors for non-independence.

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Source record

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

Multilevel Rasch Model
Taxonomic method record · latent-structure / psychometrics
  • Adams, R. J., Wilson, M. & Wu, M. (1997). Multilevel item response models: An approach to errors in variables regression. Journal of Educational and Behavioral Statistics, 22(1), 47–76. · DOI 10.3102/10769986022001047
  • Fox, J.-P. & Glas, C. A. W. (2001). Bayesian estimation of a multilevel IRT model using Gibbs sampling. Psychometrika, 66(2), 271–288. · DOI 10.1007/BF02294839
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Curated claims

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 bucketDifferential Item Functioningmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketItem Response Theorymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultilevel CFAmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultilevel Measurement Invariancemachine-suggested · Relational suggestion, not evidence.Same method familyRasch Modelmachine-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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