articleJan 1, 2010Closed access

Diagnostic measurement: Theory, methods, and applications.

University of Maryland, College Park · Georgia Department of Education · +3 more institutions

Abstract

Index of Notation 1. Introduction I. Theory: Principles of Diagnostic Measurement with DCMs 2. Implementation, Design, and Validation of Diagnostic Assessments 3. Diagnostic Decision Making with DCMs 4. Attribute Specification for DCMs II. Methods: Psychometric Foundations of DCMs 5. The Statistical Nature of DCMs 6. The Statistical Structure of Core DCMs 7. The LCDM Framework 8. Modeling the Attribute Space in DCMs III. Applications: Utilizing DCMs in Practice 9. Estimating DCMs Using Mplus 10. Respondent Parameter Estimation in DCMs 11. Item Parameter Estimation in DCMs 12. Evaluating the Model Fit of DCMs 13. Item Discrimination Indices for DCMs 14. Accommodating Complex Sampling Designs in DCMs Glossary

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Topics & keywords

Keywords
  • Computer science
  • Notation
  • Glossary
  • Respondent
  • Sampling (signal processing)
  • Statistical hypothesis testing
  • Artificial intelligence
  • Statistics
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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