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Robust Rasch Model/Evidence
Method evidence record

Robust Rasch Model

The robust Rasch model applies the standard one-parameter logistic Rasch framework with estimation procedures designed to limit the influence of outlying item responses, aberrant respondents, or mild model violations, producing stable item and person parameter estimates that are less sensitive to data contamination than ordinary maximum likelihood or conditional maximum likelihood Rasch estimation.

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Source record

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

Robust Rasch Model
Taxonomic method record · latent-structure / psychometrics
  • Strobl, C., Wickelmaier, F., & Zeileis, A. (2011). Accounting for individual differences in Bradley-Terry models by means of recursive partitioning. Journal of Educational and Behavioral Statistics, 36(2), 135–153. · DOI 10.3102/1076998609359791
  • Mislevy, R. J., & Bock, R. D. (1982). Biweight estimates of latent ability. Educational and Psychological Measurement, 42(3), 725–737. · DOI 10.1177/001316448204200302
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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.Same method familyRasch Modelmachine-suggested · Relational suggestion, not evidence.Same method familyRobust Confirmatory Factor Analysismachine-suggested · Relational suggestion, not evidence.See alsoRobust Reliability Analysismachine-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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