Equal area logistic estimation for item response theory

Shih Ching Lo, Kuo Chang Wang, Hsin Li Chang

研究成果: 書貢獻/報告類型會議論文篇章

摘要

Item response theory (IRT) models use logistic functions exclusively as item response functions (IRFs). Applications of IRT models require obtaining the set of values for logistic function parameters that best fit an empirical data set. However, success in obtaining such set of values does not guarantee that the constructs they represent actually exist, for the adequacy of a model is not sustained by the possibility of estimating parameters. In this study, an equal area based two-parameter logistic model estimation algorithm is proposed. Two theorems are given to prove that the results of the algorithm are equivalent to the results of fitting data by logistic model. Numerical results are presented to show the stability and accuracy of the algorithm.

原文英語
主出版物標題Computational Methods in Science and Engineering - Advances in Computational Science, Lectures Presented at the Int. Conference on Computational Methods in Science and Engineering 2008, ICCMSE 2008
頁面485-488
頁數4
DOIs
出版狀態已發佈 - 2009
事件6th International Conference on Computational Methods in Sciences and Engineering 2008, ICCMSE 2008 - Hersonissos, Crete, 希腊
持續時間: 2008 九月 252008 九月 30

出版系列

名字AIP Conference Proceedings
1148 2
ISSN(列印)0094-243X
ISSN(電子)1551-7616

會議

會議6th International Conference on Computational Methods in Sciences and Engineering 2008, ICCMSE 2008
國家/地區希腊
城市Hersonissos, Crete
期間2008/09/252008/09/30

ASJC Scopus subject areas

  • 物理與天文學 (全部)

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