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词汇测验中猜测行为的探查——贝叶斯猜测系列模型的应用与思考
引用本文:谭艳姬,曹亦薇.词汇测验中猜测行为的探查——贝叶斯猜测系列模型的应用与思考[J].考试研究,2012(5):19-28.
作者姓名:谭艳姬  曹亦薇
作者单位:腾讯科技(深圳)有限公司用户研究与体验设计部;深圳大学
摘    要:本研究应用Caojing等人的Bayesian IRT Guessing系列模型,分析初中二年级学生在汉语词汇测验中的猜测行为,使用DIC3指标评价模型的拟合程度,并将参数估计结果与双参数Logistic模型进行了比较。研究发现:(1)猜测模型的拟合度优于双参数Logistic模型;(2)初中二年级测验数据最适合临界猜测模型(IRT-TG),约有3.5%的学生存在TG型猜测行为;(3)猜测者的存在会明显影响本身的能力估计与项目难度估计,但是对非猜测者的能力及区分度参数估计影响不大。

关 键 词:汉语词汇测验  贝叶斯猜测系列模型  MCMC  DIC3

Detection of Testees’ Guessing Behaviors in Chinese Vocabulary Test:Application of Bayesian IRT Guess Models
Tan Yanji,Cao Yiwei.Detection of Testees’ Guessing Behaviors in Chinese Vocabulary Test:Application of Bayesian IRT Guess Models[J].Examinations Research,2012(5):19-28.
Authors:Tan Yanji  Cao Yiwei
Institution:1 Tencent Technology (Shenzhen) Company Limited,Shenzhen,Guangdong,518057 2 Shenzhen University,Shenzhen,Guangdong,518060
Abstract:This study applied the Bayesian IRT guess models by Caojing to Chinese vocabulary test of grand 8,and compared them with the 2PL-IRT using Bayesian methodology.The results show that :(1) all guess models perform better than the 2PL model on the data set;(2) 3.5% students of grand 8are detected guessers,they answer questions based on their knowledge up to a certain test item,and guess randomly thereafter;(3) the guessers will significantly influence the estimation of their ability parameters and the item’s difficulty parameters,however it has little impact on non-guessers’ ability and item’s discrimination estimates.
Keywords:Chinese Vocabulary Test  Bayesian IRT Guess Models  MCMC  DIC3
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