TY  - BOOK
AU  - Almond,Russell G.
AU  - Mislevy,Robert J.
AU  - Steinberg,Linda S.
AU  - Yan,Duanli
AU  - Williamson,David M.
TI  - Bayesian networks in educational assessment
T2  - Statistics for social and behavioral sciences
SN  - 9781493921249
U1  - 000SB:371.26 23
PY  - 2015///
CY  - New York
PB  - Springer
KW  - Educational tests and measurements
KW  - Statistical methods
KW  - Educational evaluation
N1  - Includes bibliographical references and index; 1. Introduction --
2. An Introduction to Evidence-Centered Design --
3. Bayesian Probability and Statistics: a review --
4. Basic graph theory and graphical models --
5. Efficient calculations --
6. Some Example Networks --
7. Explanation and Test Construction --
8. Parameters for Bayesian Network Models --
9. Learning in Models with Fixed Structure --
10. Critiquing and Learning Model Structure --
11. An Illustrative Example --
12. The Conceptual Assessment Framework --
13. The Evidence Accumulation Process --
14. Biomass: An Assessment of Science Standards --
15. The Biomass Measurement Model --
16. The Future of Bayesian Networks in Educational Assessment --
A. Bayesian Network Resources --
References --
Author index
N2  - This book is both a resource for professionals interested in assessment and advanced students.  Its clear exposition, worked-through numerical examples, and demonstrations from real and didactic applications provide invaluable illustrations of how to use Bayes nets in educational assessment. Exercises follow each chapter, and the online companion site provides a glossary, data sets and problem setups, and links to computational resources

ER  -