A Strong True-Score Model for Polytomous Items∗

نویسندگان

  • Won-Chan Lee
  • Tianyou Wang
  • Seonghoon Kim
  • Robert L. Brennan
چکیده

This paper presents a strong true-score model for tests that consist of polytomously-scored items. Errors conditional on true score are assumed to be distributed as multinomial, true category-proportion scores are assumed to follow a Dirichlet distribution, and the marginal category scores are the Dirichletmultinomial distribution. The model is illustrated using real data sets in the following psychometric applications: obtaining a smoothed fitted observed-score distribution; estimating conditional standard errors of measurement and reliability for both raw and transformed scale scores; and computing classification consistency and accuracy indices for raw and scale scores.

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تاریخ انتشار 2006