Book contents
- Frontmatter
- Contents
- Contributors
- Preface
- 1 Principles and Consequences of the Initial Visual Encoding
- 2 Measuring Multisensory Integration in Selected Paradigms
- 3 Fechnerian Scaling: Dissimilarity Cumulation Theory
- 4 Mathematical Models of Human Learning
- 5 Formal Models of Memory Based on Temporally-Varying Representations
- 6 Statistical Decision Theory
- 7 Modeling Response Inhibition in the Stop-Signal Task
- 8 Approximate Bayesian Computation
- 9 Cognitive Diagnosis Models
- 10 Encoding Models in Neuroimaging
- Index
9 - Cognitive Diagnosis Models
Published online by Cambridge University Press: 20 April 2023
- Frontmatter
- Contents
- Contributors
- Preface
- 1 Principles and Consequences of the Initial Visual Encoding
- 2 Measuring Multisensory Integration in Selected Paradigms
- 3 Fechnerian Scaling: Dissimilarity Cumulation Theory
- 4 Mathematical Models of Human Learning
- 5 Formal Models of Memory Based on Temporally-Varying Representations
- 6 Statistical Decision Theory
- 7 Modeling Response Inhibition in the Stop-Signal Task
- 8 Approximate Bayesian Computation
- 9 Cognitive Diagnosis Models
- 10 Encoding Models in Neuroimaging
- Index
Summary
Cognitive diagnosis models originated in the field of educational measurement as a psychometric tool to provide finer-grained information more suitable for formative assessment. Typically,but not necessarily, these models classify examinees as masters or nonmasters on a set of binary attributes. This chapter aims to provide a general overview of the original models and the extensions, and methodological developments, that have been made in the last decade. The main topics covered in this chapter include model estimation, Q-matrix specification, model fit evaluation, and procedures for gathering validity and reliability evidences. The chapter ends with a discussion of future trends in the field.
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- Information
- New Handbook of Mathematical Psychology , pp. 385 - 420Publisher: Cambridge University PressPrint publication year: 2023
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