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Latent trait models and dichotomization of graded responses

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  • Paul Jansen
  • Edward Roskam

Abstract

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Suggested Citation

  • Paul Jansen & Edward Roskam, 1986. "Latent trait models and dichotomization of graded responses," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 69-91, March.
    • Handle: RePEc:spr:psycho:v:51:y:1986:i:1:p:69-91
    DOI: 10.1007/BF02294001
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    References listed on IDEAS

    as
    1. Geoff Masters, 1982. "A rasch model for partial credit scoring," Psychometrika, Springer;The Psychometric Society, vol. 47(2), pages 149-174, June.
    2. Erling Andersen, 1977. "Sufficient statistics and latent trait models," Psychometrika, Springer;The Psychometric Society, vol. 42(1), pages 69-81, March.
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    Citations

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    Cited by:

    1. Daphna Harel & Russell J. Steele, 2018. "An Information Matrix Test for the Collapsing of Categories Under the Partial Credit Model," Journal of Educational and Behavioral Statistics, , vol. 43(6), pages 721-750, December.
    2. Edw Roskam, 1995. "Graded responses and joining categories: a rejoinder to Andrich' “models for measurement, precision, and nondichotomization of graded responses”," Psychometrika, Springer;The Psychometric Society, vol. 60(1), pages 27-35, March.
    3. David Andrich, 2010. "Sufficiency and Conditional Estimation of Person Parameters in the Polytomous Rasch Model," Psychometrika, Springer;The Psychometric Society, vol. 75(2), pages 292-308, June.
    4. Mark Wilson & Geofferey Masters, 1993. "The partial credit model and null categories," Psychometrika, Springer;The Psychometric Society, vol. 58(1), pages 87-99, March.
    5. Edward Roskam & Paul Jansen, 1989. "Conditions for rasch-dichotomizability of the unidimensional polytomous rasch model," Psychometrika, Springer;The Psychometric Society, vol. 54(2), pages 317-332, June.
    6. van der Ark, L.A., 1999. "A reference card for the relationships between IRT models for ordered polytomous items and some relevant properties," WORC Paper 99.10.02, Tilburg University, Work and Organization Research Centre.

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