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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
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Jeanne Hale
reviewed Diagnostic Measurement: Theory, Methods, and Applications on May 25, 2014
Diagnostic Measurement
Really useful, I used this for my studies.
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Add Diagnostic Measurement: Theory, Methods, and Applications, 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 edu, Diagnostic Measurement: Theory, Methods, and Applications to the inventory that you are selling on WonderClubX
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Add Diagnostic Measurement: Theory, Methods, and Applications, 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 edu, Diagnostic Measurement: Theory, Methods, and Applications to your collection on WonderClub |