Read more
Zusatztext "Dr. K. Tatsuoka's book demonstrates rich content and brilliant work [that] provides a possible template for assessing the reliability of the underlying cognitive processes of an assessment. Examples span a rich and wide domain reflecting the author's work in applying rule space to a wide array of assessments. ? The book will absolutely make a significant contribution to the field." - Gwyneth M. Boodoo! President! GMB Enterprises"This book reflects [Dr. K. Tatsuoka's] accomplishments and contributions to educational assessment. It is remarkable in its extensiveness." - Leona Aiken! Arizona State University"Dr. K. Tatsuoka's Rule Space Methodology is innovative and illuminating in its ability to assess and delineate the underlying pattern of cognitive skills and knowledge for individuals from a set of test scores." - Lisa Harlow! University of Rhode Island Informationen zum Autor Dr. Kumi Tatsuoka is a distinguished research professor! emeritus! in the Department of Human Development at Columbia University's Teachers College. She is a pioneer in the development of the Rule Space Method and Q-matrix theory used for cognitive diagnostic assessment. Klappentext Introduces readers to the Rule Space Method (RSM) a technique that transforms unobservable knowledge and skill variables into observable and measurable attributes. This book also presents an overview of cognitive assessment research and nonparametric and parametric person-fit statistics. Zusammenfassung Introduces readers to the Rule Space Method (RSM) a technique that transforms unobservable knowledge and skill variables into observable and measurable attributes. This book also presents an overview of cognitive assessment research and nonparametric and parametric person-fit statistics. Inhaltsverzeichnis 1. Dimensionality of Test Data and Aberrant Response Patterns. 2. Parametric Person-fit Statistics, Zeta z and Generalized Zetas z1,… zm. 3. Cognitive Modeling by Developing an Incidence Matrix Q. 4. Knowledge Space Generated from a Q-matrix. 5. A Classification Space: Rule Space as a Cartesian Product of the Person Parameter q in Item Response Theory, z and Generalized Zetas. 6. Classification Rules. 7. Rule Space Decision Rules and Attribute Mastery Probabilities. 8. Posterior Probabilities with Different Prior Probabilities and Their Effect on the Attribute Mastery Probabilities. 9. Reliability of Items, Persons, and Their Relationship to the Classical Test Theory. 10. Validation of Attributes, a Q-Matrix Coded by the Involvement of Attributes to Items and a Test. 11. References. ...
