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Classical Test Theory as a first-order Item Response Theory: Application to true-score prediction from a possibly nonparallel test

Author

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  • Paul Holland
  • Machteld Hoskens

Abstract

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Suggested Citation

  • Paul Holland & Machteld Hoskens, 2003. "Classical Test Theory as a first-order Item Response Theory: Application to true-score prediction from a possibly nonparallel test," Psychometrika, Springer;The Psychometric Society, vol. 68(1), pages 123-149, March.
    • Handle: RePEc:spr:psycho:v:68:y:2003:i:1:p:123-149
    DOI: 10.1007/BF02296657
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    Cited by:

    1. Nadir Altinok & Claude Diebolt, 2024. "Cliometrics of learning-adjusted years of schooling: evidence from a new dataset," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 18(3), pages 691-764, September.
    2. Svend Kreiner & Karl Christensen, 2011. "Item Screening in Graphical Loglinear Rasch Models," Psychometrika, Springer;The Psychometric Society, vol. 76(2), pages 228-256, April.
    3. Edward Frees & Jee-Seon Kim, 2006. "Multilevel Model Prediction," Psychometrika, Springer;The Psychometric Society, vol. 71(1), pages 79-104, March.
    4. Alina Davier, 2013. "Observed-Score Equating: An Overview," Psychometrika, Springer;The Psychometric Society, vol. 78(4), pages 605-623, October.
    5. Jules L. Ellis & Klaas Sijtsma, 2024. "Proof of Reliability Convergence to 1 at Rate of Spearman–Brown Formula for Random Test Forms and Irrespective of Item Pool Dimensionality," Psychometrika, Springer;The Psychometric Society, vol. 89(3), pages 774-795, September.

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