A Framework for Dimensionality Assessment for Multidimensional Item Response Models

Dubravka Svetina, Roy Levy

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


A framework is introduced for considering dimensionality assessment procedures for multidimensional item response models. The framework characterizes procedures in terms of their confirmatory or exploratory approach, parametric or nonparametric assumptions, and applicability to dichotomous, polytomous, and missing data. Popular and emerging approaches are situated within the proposed framework and illustrated via analyses of item response data from the National Assessment of Educational Progress Science Assessment. Copyright Taylor & Francis.

Original languageEnglish (US)
Pages (from-to)35-57
Number of pages23
JournalEducational Assessment
Issue number1
StatePublished - Jan 2014

ASJC Scopus subject areas

  • Education

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