Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/2223

 Title: Estimation of IRT Parameters over a Small Sample. Bootstrapping of the Item Responses Authors: Atanasov, Dimitar Keywords: item response theorysmall samplebootstraping Issue Date: 2009 Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences Citation: Pliska Studia Mathematica Bulgarica, Vol. 19, No 1, (2009), 59p-68p Abstract: Estimation of the parameters of the Item Response Theory model is reasonable only on a relatively large samples. Applying this methodology for small samples is a common problem in practice. In this paper a bootstrapping technique for a small samples is presented. Additional item responses are added to the original dataset, according to the posterior probability of the correct item response. The same is used in generation of additional items needed when the cognitive attributes are studied. Description: 2000 Mathematics Subject Classification: 97C40. URI: http://hdl.handle.net/10525/2223 ISSN: 0204-9805 Appears in Collections: 2009 Volume 19

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