2009年3月
A New Concurrent Calibration Method for Nonequivalent Group Design under Nonrandom Assignment
PSYCHOMETRIKA
- ,
- ,
- ,
- 巻
- 74
- 号
- 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 : 2
Web of Science ® の 関連論文(Related Records®)ビュー
- リンク情報
- ID情報
-
- DOI : 10.1007/s11336-008-9076-x
- ISSN : 0033-3123
- Web of Science ID : WOS:000263781300001