Title: Diagnostic Measurement : Theory, Methods, and Applications Author: Andre A. Rupp, Jonathan Templin, Robert A. Henson ISBN: 1606235273 / 9781606235270 Format: Soft Cover Pages: 348 Publisher: The Guilford Press Year: 2010 Availability: Out of Stock
Description
Contents
This book provides a comprehensive introduction to the theory and practice of diagnostic classification models (DCMs), which are useful for statistically driven diagnostic decision making. DCMs can be employed in a wide range of disciplines, including educational assessment and clinical psychology. For the first time in a single volume, the authors present the key conceptual underpinnings and methodological foundations for applying these models in practice. Specifically, they discuss a unified approach to DCMs, the mathematical structure of DCMs and their relationship to other latent variable models, and the implementation and estimation of DCMs using Mplus. The book's highly accessible language, real-world applications, numerous examples, and clearly annotated equations will encourage professionals and students to explore the utility and statistical properties of DCMs in their own projects. The companion website (projects.coe.uga.edu/dcm) features data sets, Mplus syntax code, and output.
Index of Notation
Chapter 1 : Introduction
Part I : Theory : Principles of Diagnostic Measurement with DCMs
Chapter 2 : Implementation, Design, and Validation of Diagnostic Assessments Chapter 3 : Diagnostic Decision Making with DCMs Chapter 4 : Attribute Specification for DCMs
Part II : Methods : Psychometric Foundations of DCMs
Chapter 5 : The Statistical Nature of DCMs Chapter 6 : The Statistical Structure of Core DCMs Chapter 7 : The LCDM Framework Chapter 8 : Modeling the Attribute Space in DCMs
Part III : Applications : Utilizing DCMs in Practice
Chapter 9 : Estimating DCMs Using Mplus Chapter 10 : Respondent Parameter Estimation in DCMs Chapter 11 : Item Parameter Estimation in DCMs Chapter 12 : Evaluating the Model Fit of DCMs Chapter 13 : Item Discrimination Indices for DCMs Chapter 14 : Accommodating Complex Sampling Designs in DCMs