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Scholten, Annemarie Zand; Maris, Gunter; Borsboom, Denny – Measurement: Interdisciplinary Research and Perspectives, 2011
In his opening statements, Humphry takes a critical attitude with respect to psychometric modeling. As he advances and discusses Michell's well-known criticisms, the reader is certain that this paper must have something on offer that deviates considerably from conventional psychometrics. After all "most psychometricians have either explicitly or…
Descriptors: Psychometrics, Research Methodology, Models, Measurement Techniques
Maris, Gunter; Schmittmann, Verena D.; Borsboom, Denny – Measurement: Interdisciplinary Research and Perspectives, 2010
Test equating under the NEAT design is, at best, a necessary evil. At bottom, the procedure aims to reach a conclusion on what a tested person would have done, if he or she were administered a set of items that were in fact never administered. It is not possible to infer such a conclusion from the data, because one simply has not made the required…
Descriptors: Equated Scores, Inferences, Item Response Theory, Error of Measurement
Maris, Gunter; Bechger, Timo – Measurement: Interdisciplinary Research and Perspectives, 2009
This paper addresses two problems relating to the interpretability of the model parameters in the three parameter logistic model. First, it is shown that if the values of the discrimination parameters are all the same, the remaining parameters are nonidentifiable in a nontrivial way that involves not only ability and item difficulty, but also the…
Descriptors: Item Response Theory, Models, Ability, Test Items
Maris, Gunter; Bechger, Timo – Measurement: Interdisciplinary Research and Perspectives, 2009
Rupp and Templin (2008) do a good job at describing the ever expanding landscape of Diagnostic Classification Models (DCM). In many ways, their review article clearly points to some of the questions that need to be answered before DCMs can become part of the psychometric practitioners toolkit. Apart from the issues mentioned in this article that…
Descriptors: Factor Analysis, Classification, Psychometrics, Item Response Theory

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