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Advances in Psychological Science    2013, Vol. 21 Issue (10) : 1893-1900     DOI: 10.3724/SP.J.1042.2013.01893
Research Methods |
Model Development in Processing Local Item Dependency (LID) in Testlet-composed Test Analysis
XIAO Zhuzhu;ZHANG Minqiang;WANG Xia;XIONG Siping
(Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou 510631, China)
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Abstract  Testlets-composed tests are commonly used in education and psychology fields, but items in the same testlet may violate the assumption of local item independence and lead to local item dependency (LID). Thus, in order to increase parameter estimation accuracy, probing into methods of handling LID is of significant importance. In this paper, the authors summarize and assess four methods in processing LID, including standard IRT model, polytomous IRT model, testlet response model and bi-factor model. Taking parameter estimation accuracy as the criterion, the authors further summarize the effects and suitable conditions of each method and provided corresponding comments. This paper will provide reference for method selection when processing LID. Future research directions are discussed as well.
Keywords testlet      IRT model      local item dependency (LID)     
Corresponding Authors: ZHANG Minqiang   
Issue Date: 15 October 2013
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XIAO Zhuzhu
ZHANG Minqiang
XIONG Siping
Cite this article:   
XIAO Zhuzhu,ZHANG Minqiang,WANG Xia, et al. Model Development in Processing Local Item Dependency (LID) in Testlet-composed Test Analysis[J]. Advances in Psychological Science, 2013, 21(10): 1893-1900.
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