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Detecting and Interpreting Local Item Dependence Using a Family of Rasch Models.
Peer reviewed Peer reviewed
Wilson, Mark – Applied Psychological Measurement, 1988
A method for detecting and interpreting disturbances of the local-independence assumption among items that share common stimulus material or other features is presented. Dichotomous and polytomous Rasch models are used to analyze structure of the learning outcome superitems. (SLD)
Descriptors: Item Analysis, Latent Trait Theory, Mathematical Models, Test Interpretation
Monte Carlo Evaluation of Implied Orders as a Basis for Tailored Testing.
Peer reviewed Peer reviewed
Cudeck, Robert; And Others – Applied Psychological Measurement, 1979
TAILOR, a computer program which implements an approach to tailored testing, was examined by Monte Carlo methods. The evaluation showed the procedure to be highly reliable and capable of reducing the required number of tests items by about one half. (Author/JKS)
Descriptors: Adaptive Testing, Computer Programs, Feasibility Studies, Item Analysis
Acquiescence in Components Analysis and Multidimensional Scaling of Self-Rating Items.
Peer reviewed Peer reviewed
Davison, Mark L.; Srichantra, Niyada – Applied Psychological Measurement, 1988
Multidimensional scaling (MDS) and components solutions were compared using two balanced self-report item sets. Results suggest that when self-report items are balanced and negatively worded items are not reverse scored, MDS and components solutions can differ largely, due to a component associated with measures of acquiescence. (SLD)
Descriptors: Factor Analysis, Higher Education, Item Analysis, Multidimensional Scaling