New IRT models for examinee-selected items

Wen Chung Wang*, Chen Wei Liu

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

Examinee-selected-item (ESI) design, in which examinees are required to respond to a fixed number of items in a given set of items (e.g., responding to two items in five given items; leading to ten selection patterns), has the advantages of enhancing students’ learning motivation and reducing their testing anxiety. The ESI design yields incomplete data (i.e., only those selected items are answered and the others have missing data). It has been argued that missing data in the ESI design are missing not at random, making standard item response theory (IRT) models inappropriate. Recently, Wang et al. (Journal of Educational Measurement 49(4):419–445, 2012) propose an IRT model for examinee-selected items by adding an additional latent trait to standard IRT models to account for the selection effect. This latent trait could correlate with the intended-to-be-measured latent trait, and the correlation quantifies how stronger the selection effect and how serious the violation of the assumption of missing at random are. In this study, we developed a framework to incorporate this model as a special case and generate several new models. We conducted an experiment to collect real data, in which 501 fifth graders took two mandatory items and four pairs of mathematic (dichotomous) items. In each pair of items, students were first asked to indicate which item they preferred to answer and then answered both items. This is referred to as the “Choose one, Answer all” approach. These new IRT models were fit to the real data and the results were discussed.

原文英語
主出版物標題Quantitative Psychology Research
主出版物子標題The 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014
編輯L. Andries van der Ark, Wen-Chung Wang, Jeffrey A. Douglas, Daniel M. Bolt, Sy-Miin Chow
發行者Springer International Publishing
頁面27-41
頁數15
140
ISBN(電子)9783319199771
ISBN(列印)9783319199764
DOIs
出版狀態已發佈 - 2015
對外發佈
事件79th Annual International Meeting of the Psychometric Society, IMPS 2014 - Madison, 美国
持續時間: 2014 7月 212014 7月 25

出版系列

名字Springer Proceedings in Mathematics and Statistics
140
ISSN(列印)2194-1009
ISSN(電子)2194-1017

會議

會議79th Annual International Meeting of the Psychometric Society, IMPS 2014
國家/地區美国
城市Madison
期間2014/07/212014/07/25

ASJC Scopus subject areas

  • 數學(全部)

指紋

深入研究「New IRT models for examinee-selected items」主題。共同形成了獨特的指紋。

引用此