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.
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- Educational tests & measurements
- Educational Psychology
- Conditional covariance theory
- dimensionality assessment
- Posterior predictive model checking
- Educational tests and measurements--Evaluation.
- Multidimensional scaling--Testing.
- Multidimensional scaling
- Item response theory--Testing.
- Item response theory
- Partial requirement for: M.A., Arizona State University, 2013Note typethesis
- Includes bibliographical references (p. 73-76)Note typebibliography
- Field of study: Educational psychology