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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

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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    Date Created
    • 2011
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  • Text
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    Note
    • Partial requirement for: Ph. D., Arizona State University, 2011
      Note type
      thesis
    • Includes bibliographical references (p. 239-249)
      Note type
      bibliography
    • Field of study: Educational psychology

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    by Dubravka Svetina

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