Table of Contents

Contents: Preface. D.M. Williamson, I.I. Bejar, R.J. Mislevy, Automated Scoring of Complex Tasks in Computer-Based Testing: An Introduction. R.J. Mislevy, L.S. Steinberg, R.G. Almond, J.F. Lukas, Concepts, Terminology, and Basic Models of Evidence-Centered Design. I.I. Bejar, D.M. Williamson,
R.J. Mislevy, Human Scoring. H. Braun, I.I. Bejar, D.M. Williamson, Rule-Based Methods for Automated Scoring: Application in a Licensing Context. M.J. Margolis, B.E. Clauser, A Regression-Based Procedure for Automated Scoring of a Complex Medical Performance Assessment. H. Wainer, L.M. Brown, E.T. Bradlow, X. Wang, W.P. Skorupski, J. Boulet, R.J. Mislevy, An Application of Testlet Response Theory in the Scoring of a Complex Certification Exam. D.M. Williamson, R.G. Almond, R.J. Mislevy, R. Levy, An Application of Bayesian Networks in Automated Scoring of Computerized Simulation Tasks. R.H. Stevens, A. Casillas, Artificial Neural Networks. P. Deane, Strategies for Evidence Identification Through Linguistic Assessment of Textual Responses. K. Scalise, M. Wilson, Analysis and Comparison of Automated Scoring Approaches: Addressing Evidence-Based Assessment Principles. R.E. Bennett, Moving the Field Forward: Some Thoughts on Validity and Automated Scoring.

Reviews

"There is no other book on this topic in the market. It will fill an important need."
—Mark D. Reckase, Ph.D.
Michigan State University"...a single source for how automated assessment is currently done, and...information that can be used by practitioners in developing automated scoring systems...this book will make an important contribution to the field."
—Gregory Chung, Ph.D.
University of California at Los Angeles