多群IRTモデルにおけるモデル簡素化の評価 : 水平等化場面のシミュレーションを通じて  [in Japanese] An Evaluation of the Effect of Simplifying Group Structure when Multiple Group IRT Models were Used : Through Simulation Studies Assuming Horizontal Equating Test  [in Japanese]

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Author(s)

    • 光永 悠彦 MITSUNAGA Haruhiko
    • 東京工業大学大学院社会理工学部研究科 Graduate School of Decision Science and Technology, Tokyo Institute of Technology
    • 前川 眞一 MAYEKAWA Shin-ichi
    • 東京工業大学大学院社会理工学部研究科 Graduate School of Decision Science and Technology, Tokyo Institute of Technology

Abstract

Consider the situation when a set of new items are administered as the part of several forms including anchor items. In this case, in order to add the new items to the existing item bank, we could either 1) estimate the item parameters of the items in each form and equate them using the information contained in the anchor items (separate calibration), or 2) combine the new item response data to the old data set and calibrate whole the items again using the multiple group IRT (concurrent calibration). However, as the number of groups becomes large, the existing multiple group IRT calibration program fails to converge due to the lack of available memory. In this study we examined the proper method to merge groups in order to avoid the above problem. Simulation studies showed that the separate calibration estimates were closest to the true value, and the concurrent calibration with reduced groups was similar to the separate calibration if the mean values of latent ability were similar among the merged groups.

Journal

  • Kodo Keiryogaku (The Japanese Journal of Behaviormetrics)

    Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) 40(1), 29-42, 2013-03-28

    The Behaviormetric Society

References:  19

Codes

  • NII Article ID (NAID)
    10031151455
  • NII NACSIS-CAT ID (NCID)
    AN0008437X
  • Text Lang
    JPN
  • Article Type
    ART
  • ISSN
    03855481
  • NDL Article ID
    024618943
  • NDL Call No.
    Z6-1106
  • Data Source
    CJP  NDL  J-STAGE 
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