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Empirical Comparison Between Factor Analysis and Multidimensional Item Response Models

Knol, Dirk L., Berger, Martijn P.F.·1991·Multivariate Behavioral Research

Abstract

Many factor analysis and multidimensional item response models for dichotomous variables have been proposed in literature. The models and various methods for estimating the item parameters are reviewed briefly. In a simulation study these methods are compared with respect to their estimates of the item parameters both in terms of an item response theory formulation and in terms of a factor analysis formulation. It is concluded that for multidimensional data a common factor analysis on the matrix of tetrachoric correlations performs at least as well as the theoretically appropriate multidimensional item response models.

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Metadata

Authors
Knol, D. L., & Berger, M. P. F.
Venue
Multivariate Behavioral Research
Published
1991-07
Volume
26
Issue
3
Pages
457-477
ISSN
  • 0027-3171 (ISSN-L)
  • 1532-7906
OpenAlex
W2085076418
Cited by
176
References
0
FWCI
1.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Empirical Comparison Between Factor Analysis and Multidimensional Item Response Models. https://app.cochat.ai/papers/10.1207/s15327906mbr2603_5
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Knol, D. L., & Berger, M. P. F. (1991). Empirical Comparison Between Factor Analysis and Multidimensional Item Response Models. Multivariate Behavioral Research. https://doi.org/10.1207/s15327906mbr2603_5

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.