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Journal of Applied Statistics Volume 39, 2012 - Issue 12
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Original Articles

The use of predicted values for item parameters in item response theory models: an application in intelligence tests

Mariagiulia Matteucci Department of Statistical Sciences, University of Bologna, via Belle Arti 41, 40126, Bologna, ItalyCorrespondence[email protected]
,
Stefania Mignani Department of Statistical Sciences, University of Bologna, via Belle Arti 41, 40126, Bologna, Italy
&
Bernard P. Veldkamp Research Center for Examination and Certification, University of Twente, Enschede, The Netherlands
Pages 2665-2683 | Received 08 Mar 2012, Accepted 24 Aug 2012, Published online: 20 Sep 2012

Citations (4)

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Read on this site (1)

Federico Andreis & Pier Alda Ferrari. (2014) Multidimensional item response theory models for dichotomous data in customer satisfaction evaluation. Journal of Applied Statistics 41:9, pages 2044-2055.
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Articles from other publishers (3)

Shengyu Jiang, Jiaying Xiao & Chun Wang. (2022) On-the-fly parameter estimation based on item response theory in item-based adaptive learning systems. Behavior Research Methods.
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Lihui Zhang, Gancheng Zhu, Shujie Zhang, Xiangping Zhan, Jun Wang, Weixuan Meng, Xin Fang & Peng Wang. (2019) Assessment of Career Adaptability: Combining Text Mining and Item Response Theory Method. IEEE Access 7, pages 125893-125908.
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Mariagiulia Matteucci & Bernard P. Veldkamp. (2014) The approach of power priors for ability estimation in IRT models. Quality & Quantity 49:3, pages 917-926.
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