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

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題名:	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
貢獻者:	Department of Computer Science and Information Engineering
關鍵詞:	General Hidden Markov Model;Guessing-parameter;Ordering theory;Item relational structure
日期:	2004
上傳時間:	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.
顯示於類別:	[資訊工程學系] 博碩士論文

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