Sequential sampling designs for the two-parameter item response theory model

Martijn P.F. Berger

    Research output: Contribution to journalArticleAcademicpeer-review

    19 Citations (Scopus)
    10 Downloads (Pure)

    Abstract

    In optimal design research, designs are optimized with respect to some statistical criterion under a certain model for the data. The ideas from optimal design research have spread into various fields of research, and recently have been adopted in test theory and applied to item response theory (IRT) models. In this paper a generalized variance criterion is used for sequential sampling in the two-parameter IRT model. Some general principles are offered to enable a researcher to select the best sampling design for the efficient estimation of item parameters.
    Original languageEnglish
    Pages (from-to)521-538
    Number of pages18
    JournalPsychometrika
    Volume57
    Issue number4
    DOIs
    Publication statusPublished - 1992

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