Robustness of Irt Parameter Estimation to Violations of The Unidimensionality Assumption

David A. Harrison

Journal of Educational and Behavioral Statistics, 1986, vol. 11, issue 2, 91-115

Abstract: Multidimensional item response data were created from a hierarchical factor model under a variety of conditions. The strength of a second-order general factor, the number of first-order common factors, the distribution of items loading on those common factors, and the number of items in simulated tests were systematically manipulated. The computer program LOGIST effectively recovered both item parameters and trait parameters implied by the general factor in nearly all of the experimental conditions. Implications of these findings for computerized adaptive testing, investigations of item bias, and other applications of item response theory models are discussed.

Keywords: Item response theory; unidimensionality; hierarchical factor model; common factor; general factor; latent structure; simulation (search for similar items in EconPapers)
Date: 1986
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:11:y:1986:i:2:p:91-115

DOI: 10.3102/10769986011002091

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