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The Rasch Model and Conjoint Measurement Theory from the Perspective of Psychometrics

Bibliographic Data

ID20400968
AuthorsDenny Borsboom (0000-0001-9720-4162, University of Amsterdam, corresponding author), Annemarie Zand Scholten (University of Amsterdam, corresponding author)
Year2008
Volume18
Issue1
Pages111-117
Publication date2008-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTheory & Psychology (JOURNAL)
Journal identifiersISSN: 0959-3543 • E-ISSN: 1461-7447
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0959354307086925
OpenAlexW2120215383
LanguageEN
Citations received8
References cited12

Kyngdon argues that psychometricians have erroneously claimed the Rasch model to be an instance of representational measurement, because the Rasch model does not map a bona fide empirical relational system (ERS) into a numerical relational system (NRS). While we agree that one does not automatically achieve a conjoint measurement representation upon fitting a Rasch model, we do not agree that the Rasch model could not in principle yield such a representation. In our view, whether this is possible depends on what one is prepared to accept as an empirical relational system. This is a philosophical question that extends beyond the scope of the formal structures advanced in representationalism and psychometrics; a question, moreover, that is not currently settled. We examine some of the ways in which one may react to this question, and conclude that Kyngdon's argument depends on a specific, and perhaps too strong, interpretation of representationalism and psychometric models

Cognitive psychology · Developmental psychology · Direct and indirect realism · Epistemology · Item response theory · Perception · Polytomous Rasch model · Psychometrics · Rasch model · Chemistry · Computer Science · Philosophy · Philosophy and History of Science · Psychology · Social Representations and Identity · Artificial Intelligence

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Unique citing works8
Citations per year0,5
Citation span2010 - 2026 (17)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 8

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