Description

Book Synopsis
Scoring Performance Assessments Based on Judgements focuses on the applications of Generalizability Theory to Performance Assessment. The author developed an objective method to examine the dependability of the scoring of large-scale performance assessments by humans.
This book presents principles in identifying common missing data patterns inherent in assessment designs. These principles can be used to guide the design of assessment procedures including those used in large-scale testing programs, observations, and structured interviews.

Table of Contents
List of Figures. List of Tables. Preface. Acknowledgments. 1. Introduction. 2. Literature in Variance Component Estimations, Large-Scale Assessments, and Missing Data. 3. Methodology. 4. Validations of the Subdividing Method. 5. Conclusions, Discussions, and Future Directions. 6. Computer Programs and Rater Design Diagnosis. Appendices. References. Subject Index. Author Index.

Scoring Performance Assessments Based on

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    A Paperback / softback by Christopher Wing-Tat Chiu

    15 in stock


      View other formats and editions of Scoring Performance Assessments Based on by Christopher Wing-Tat Chiu

      Publisher: Springer
      Publication Date: 20/11/2012
      ISBN13: 9789401038713, 978-9401038713
      ISBN10: 9401038716

      Description

      Book Synopsis
      Scoring Performance Assessments Based on Judgements focuses on the applications of Generalizability Theory to Performance Assessment. The author developed an objective method to examine the dependability of the scoring of large-scale performance assessments by humans.
      This book presents principles in identifying common missing data patterns inherent in assessment designs. These principles can be used to guide the design of assessment procedures including those used in large-scale testing programs, observations, and structured interviews.

      Table of Contents
      List of Figures. List of Tables. Preface. Acknowledgments. 1. Introduction. 2. Literature in Variance Component Estimations, Large-Scale Assessments, and Missing Data. 3. Methodology. 4. Validations of the Subdividing Method. 5. Conclusions, Discussions, and Future Directions. 6. Computer Programs and Rater Design Diagnosis. Appendices. References. Subject Index. Author Index.

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