A New concurrent calibration method for nonequivalent group design under nonrandom assignment

Kei Miyazaki, Takahiro Hoshino, Shin Ichi Mayekawa, Kazuo Shigemasu

研究成果: Article査読

2 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)1-19
ページ数19
ジャーナルPsychometrika
74
1
DOI
出版ステータスPublished - 2009 3
外部発表はい

ASJC Scopus subject areas

  • 心理学(全般)
  • 応用数学

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