Using the Hybrid Model of GHMM and IRT to Calibrate the Guessing Effects of Ordering Theory and Item Relational Structure Analysis

ASIA unversity > 資訊學院 > 資訊工程學系 > 博碩士論文 > Item 310904400/3909

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://asiair.asia.edu.tw/ir/handle/310904400/3909

题名:	Using the Hybrid Model of GHMM and IRT to Calibrate the Guessing Effects of Ordering Theory and Item Relational Structure Analysis
作者:	Pan Huang Chia Chi
贡献者:	Department of Computer Science and Information Engineering
关键词:	General Hidden Markov Model;Guessing-parameter;Ordering theory;Item relational structure
日期:	2004
上传时间:	2009-11-18 13:13:07 (UTC+0)
出版者:	Asia University
摘要:	It used experience rule generally in setting value for Ordering theory and Item Relational Structure (IRS). And for the computerized adaptive testing (CAT) or computerized adaptive diagnosis testing, it almost be tested by multiple choice method which with guessing-parameter. In this study, it was processed in Monte Carlo Method which using general hidden Markov model with behavior model of smooth none parameter examination question which combining guessing-parameter, and study the suitable for using in OT and IRS.
显示于类别:	[資訊工程學系] 博碩士論文

文件中的档案:

档案	大小	格式	浏览次数
	0Kb	Unknown	529	检视/开启

在ASIAIR中所有的数据项都受到原著作权保护.