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A Comparison of DIMTEST and Generalized Dimensionality Discrepancy Approaches to Assessing Dimensionality in Item Response Theory

Abstract Dimensionality assessment is an important component of evaluating item response data. Existing approaches to evaluating common assumptions of unidimensionality, such as DIMTEST (Nandakumar & Stout, 1993; Stout, 1987; Stout, Froelich, & Gao, 2001), have been shown to work well under large-scale assessment conditions (e.g., large sample sizes and item pools; see e.g., Froelich & Habing, 2007). It remains to be seen how such procedures perform in the context of small-scale assessments characterized by relatively small sample sizes and/or short tests. The fact that some procedures come with minimum allowable values for characteristics of the data, such as the number of items, may even render them unusable for some small-scale assess... (more)
Created Date 2013
Contributor Reichenberg, Ray E. (Author) / Levy, Roy (Advisor) / Thompson, Marilyn S. (Advisor) / Green, Samuel B. (Committee member) / Arizona State University (Publisher)
Subject Educational tests & measurements / Statistics / Educational psychology / Conditional covariance theory / Dimensionality assessment / Posterior predictive model checking
Type Masters Thesis
Extent 95 pages
Language English
Reuse Permissions All Rights Reserved
Note M.A. Educational Psychology 2013
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis