A Three-Parameter Speeded Item Response Model: Estimation and Application

被引：2
|
作者：
Chang, Joyce [1 ]
Tsai, Henghsiu [2 ]
Su, Ya-Hui [3 ]
Lin, Edward M. H. [4 ]
机构：
[1] Univ Texas Austin, Dept Econ, 2225 Speedway,BRB 1-116, Austin, TX 78712 USA
[2] Acad Sinica, Inst Stat Sci, 128 Acad Rd,Sect 2, Taipei 11529, Taiwan
[3] Natl Chung Cheng Univ, Dept Psychol, 168 Univ Rd,Sect 1, Min Hsiung 62102, Chai Yi, Taiwan
[4] Natl Chiao Tung Univ, Inst Finance, 1001 Univ Rd, Hsinchu 300, Taiwan
来源：
QUANTITATIVE PSYCHOLOGY RESEARCH | 2016年 / 167卷
关键词：
Item response model; Markov chain Monte Carlo; Test speededness; MIXTURE RASCH MODEL; BAYESIAN-ESTIMATION; TIMES;
D O I：
10.1007/978-3-319-38759-8_3
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
When given time constraints, it is possible that examinees leave the harder items till later and are not able to finish answering every item in time. In this paper, this situation is modeled by incorporating a speeded-effect term into a three-parameter logistic item response model. Due to the complexity of the likelihood structure, a Bayesian estimation procedure with Markov chain Monte Carlo method is presented. The methodology is applied to physics examination data of the Department Required Test for college entrance in Taiwan for illustration.
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页码：27 / 38
页数：12
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