診断基準モデルの理論：方法と適用 Diagnostic Measurement : Theory, Methods, and Applications (Methodology in the Social Sciences) （1ST）

診断基準モデルの理論：方法と適用<br>Diagnostic Measurement : Theory, Methods, and Applications (Methodology in the Social Sciences) （1ST）

診断基準モデルの理論：方法と適用
Diagnostic Measurement : Theory, Methods, and Applications (Methodology in the Social Sciences) （1ST）

Rupp, Andre A./ Templin, Jonathan/ Henson, Robert A.

Guilford Pubn（2010/04発売）

ただいまウェブストアではご注文を受け付けておりません。 ⇒古書を探す

製本 Hardcover:ハードカバー版／ページ数 348 p.
言語 ENG
商品コード 9781606235287
DDC分類 150.287

基本説明

Provides a comprehensive introduction to the theory and practice of diagnostic classification models (CDMs), which are useful for statistically driven diagnostic cedision making.

Full Description

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 (www.guilford.com/rupp-materials) features chapter exercises with answers, data sets, Mplus syntax code, and output.Winner--Award for Significant Contribution to Educational Measurement and Research Methodology, AERA Division D

Index of Notation1. IntroductionI. Theory: Principles of Diagnostic Measurement with DCMs2. Implementation, Design, and Validation of Diagnostic Assessments3. Diagnostic Decision Making with DCMs4. Attribute Specification for DCMsII. Methods: Psychometric Foundations of DCMs5. The Statistical Nature of DCMs6. The Statistical Structure of Core DCMs7. The LCDM Framework 8. Modeling the Attribute Space in DCMsIII. Applications: Utilizing DCMs in Practice 9. Estimating DCMs Using Mplus10. Respondent Parameter Estimation in DCMs 11. Item Parameter Estimation in DCMs12. Evaluating the Model Fit of DCMs13. Item Discrimination Indices for DCMs14. Accommodating Complex Sampling Designs in DCMsGlossary