ABSTRACT
Unlike other forms of adaptive testing, multistage testing (MST) is highly suitable for testing educational achievement because it can be adapted to educational surveys and student testing. This volume provides the first unified source of information on the design, psychometrics, implementation, and operational use of MST. It shows how to apply theoretical statistical tools to testing in novel and useful ways. It also explains how to explicitly tie the assumptions made by each model to observable (or at least inferable) data conditions.
TABLE OF CONTENTS
part 1|2 pages
Part I: Test Design, Item Pool, and Maintenance
part 2|2 pages
Part II: Test Assembly
part 3|2 pages
Part III: Routing, Scoring, and Equating
part 4|2 pages
Part IV: Test Reliability, Validity, Fairness, and Security
part 5|2 pages
Part V: Applications in Large-Scale Assessments
part 6|2 pages
Part VI: Closing Remarks