| Description |
xx, 348 pages : illustrations ; 26 cm |
|
3 1/2 in |
| Series |
Methodology in the social sciences |
|
Methodology in the social sciences.
|
| Contents |
1. Introduction -- 2. Implementation, design and validation of diagnostic assessments -- 3. Diagnostic decision making with DCMs -- 4. Attribute specification for 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 -- 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 |
| Summary |
Provides a comprehensive introduction to the theory and practice of diagnostic classification models (DCMs), which are useful for statistically driven diagnostic decision making |
| Notes |
Formerly CIP. Uk |
| Bibliography |
Includes bibliographical references and indexes |
| Notes |
Electronic version is available via Ebrary |
|
Mode of access: World Wide Web |
| Subject |
Cognition -- Testing.
|
|
Psychometrics.
|
| Author |
Henson, Robert A.
|
|
Templin, Jonathan.
|
| LC no. |
2009045966 |
| ISBN |
1606235273 (paperback: alk. paper) |
|
1606235281 (hardcover : alk. paper) |
|
9781606235270 (paperback: alk. paper) |
|
9781606235287 (hardcover : alk. paper) |
|
