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Index
Cover
Frontmatter
1. Building Blocks for Bayesian Networks
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
2. Learning and Revising Models from Data
8. Parameters for Bayesian Network Models
9. Learning in Models with Fixed Structure
10. Critiquing and Learning Model Structure
11. An Illustrative Example
3. Evidence-Centered Assessment Design
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
Backmatter
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