The purpose of this study was to investigate the effect of complex structure on dimensionality assessment in compensatory and noncompensatory multidimensional item response models (MIRT) of assessment data using dimensionality assessment procedures based on conditional covariances (i.e., DETECT) and a factor analytical approach (i.e., NOHARM). The DETECT-based methods typically outperformed the NOHARM-based methods in both two- (2D) and three-dimensional (3D) compensatory MIRT conditions.
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- Educational tests and measurements
- Quantitative Psychology and Psychometrics
- Educational Psychology
- complex data structures
- dimensionality assessment
- multidimensional item response theory
- Multivariate analysis
- Item response theory
- Psychometrics--Statistical methods.
- Experimental design--Evaluation.
- Experimental Design
- Partial requirement for: Ph. D., Arizona State University, 2011Note typethesis
- Includes bibliographical references (p. 239-249)Note typebibliography
- Field of study: Educational psychology