論文

査読有り 責任著者
2009年3月

A New Concurrent Calibration Method for Nonequivalent Group Design under Nonrandom Assignment

PSYCHOMETRIKA
  • Kei Miyazaki
  • ,
  • Takahiro Hoshino
  • ,
  • Shin-ichi Mayekawa
  • ,
  • Kazuo Shigemasu

74
1
開始ページ
1
終了ページ
19
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/s11336-008-9076-x
出版者・発行元
SPRINGER

This study proposes a new item parameter linking method for the common-item nonequivalent groups design in item response theory (IRT). Previous studies assumed that examinees are randomly assigned to either test form. However, examinees can frequently select their own test forms and tests often differ according to examinees' abilities. In such cases, concurrent calibration or multiple group IRT modeling without modeling test form selection behavior can yield severely biased results. We proposed a model wherein test form selection behavior depends on test scores and used a Monte Carlo expectation maximization (MCEM) algorithm. This method provided adequate estimates of testing parameters.

Web of Science ® 被引用回数 : 1

リンク情報
DOI
https://doi.org/10.1007/s11336-008-9076-x
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000263781300001&DestApp=WOS_CPL
ID情報
  • DOI : 10.1007/s11336-008-9076-x
  • ISSN : 0033-3123
  • Web of Science ID : WOS:000263781300001

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