Robust estimation of ability in the Rasch model
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DOI: 10.1007/BF02293910
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Cited by:
- Arnond Sakworawich & Howard Wainer, 2020. "Scoring Tests With Contaminated Response Vectors," Journal of Educational and Behavioral Statistics, , vol. 45(2), pages 209-226, April.
- Christof Schuster & Ke-Hai Yuan, 2011. "Robust Estimation of Latent Ability in Item Response Models," Journal of Educational and Behavioral Statistics, , vol. 36(6), pages 720-735, December.
- Xiaozhu Jian & Dai Buyun & Deng Yuanping, 2021. "The robust estimation of examinee ability based on the four-parameter logistic model when guessing and carelessness responses exist," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-16, April.
- Herbert Hoijtink, 1990. "A latent trait model for dichotomous choice data," Psychometrika, Springer;The Psychometric Society, vol. 55(4), pages 641-656, December.
- Brian Junker, 1991. "Essential independence and likelihood-based ability estimation for polytomous items," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 255-278, June.
- David Magis, 2016. "Efficient Standard Error Formulas of Ability Estimators with Dichotomous Item Response Models," Psychometrika, Springer;The Psychometric Society, vol. 81(1), pages 184-200, March.
- Michael Levine & Fritz Drasgow, 1988. "Optimal appropriateness measurement," Psychometrika, Springer;The Psychometric Society, vol. 53(2), pages 161-176, June.
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Keywords
Rasch model; ability estimation; jackknife; sine M-estimate; guessing correction;All these keywords.
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