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Advancing methodologies to support both summative and formative assessments /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Cheng, Ying (Alison) (Autor, Editor ), Chang, Hua-Hua (Autor, Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Charlotte, NC : Information Age Publishing, Inc., [2014]
Colección:Chinese American Educational Research and Development Association book series.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Series
  • Advancing Methodologies to Support Both Summative and Formative Assessments
  • Library of Congress Cataloging-in-Publication Data
  • Contents
  • Foreword
  • Preface
  • PART I: ADVANCES IN MAKING TESTING MORE EFFICIENT
  • CHAPTER 1: Review of Automated Test Assembly
  • CHAPTER 2: Multistage Testing, On-the-Fly Multistage Testing, and Beyond
  • CHAPTER 3: Repeated Statistical Tests in Group Sequential Clinical Trial Designs and Their Potential Applications in Educational Assessment
  • PART II: ADVANCES IN GAINING INFORMATION OF OR FROM TEST ITEMS
  • CHAPTER 4: Introduction of Elements of Online Calibration of Item Response Models in Computerized Adaptive TestingCHAPTER 5: Effects of Item Calibration Error on Applications of Item Response Theory
  • CHAPTER 6: Weighted Estimation Methods for Mixed-Type Tests
  • PART III: FORMATIVE ASSESSMENT: GAINING DIAGNOSTIC INFORMATION BY HAVING SUBDIMENSIONS AND SUBSCORES
  • CHAPTER 7: Dimensionality and Its Assessment
  • CHAPTER 8: Multidimensional Item Response Theory for Score Reporting
  • CHAPTER 9: Multidimensional Computerized Adaptive Testing
  • CHAPTER 10: Multidimensional Rasch ModelsPART IV: FORMATIVE ASSESSMENT: GAINING DIAGNOSTIC INFORMATION BY COGNITIVE DIAGNOSTIC MODELING
  • CHAPTER 11: Large-Scale Implementation of Computerized Adaptive Testing with Cognitive Diagnosis in China
  • CHAPTER 12: An Application of the Fusion Cognitive Diagnostic Model to a Large-Scale State Assessment
  • CHAPTER 13: Online Calibration with Cognitive Diagnostic Assessment
  • CHAPTER 14: Validating Diagnostic Inferences
  • About the Contributors