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On Score Locations of Binary and Partial Credit Items and Their Applications to Item Mapping and Criterion-Referenced Interpretation

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  • Huynh Huynh

Abstract

A procedure is presented for locating on the latent trait scale the scores (or responses) of items that follow the three-parameter logistic (3PL) and monotone partial credit (MPC) models. The procedure is based on a Bayesian updating of the item information and is identical to locating the score at the latent trait value that maximizes the Bock score information. Applications are provided in terms of selecting items or score categories for criterion-referenced interpretation and mapping and analyzing score categories.

Suggested Citation

  • Huynh Huynh, 1998. "On Score Locations of Binary and Partial Credit Items and Their Applications to Item Mapping and Criterion-Referenced Interpretation," Journal of Educational and Behavioral Statistics, , vol. 23(1), pages 35-56, March.
    • Handle: RePEc:sae:jedbes:v:23:y:1998:i:1:p:35-56
    DOI: 10.3102/10769986023001035
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    Cited by:

    1. J. Patrick Meyer & Justin B. Doromal & Xiaoxin Wei & Shi Zhu, 2017. "A Criterion-Referenced Approach to Student Ratings of Instruction," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(5), pages 545-567, August.

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