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Zusatztext "Today! cheating increasingly presents ever-changing challenges to the integrity of test results used for admissions! graduation! certification! professional licensure! and accountability.?Cizek and Wollack are two of the most recognized and cited experts on educational test security! and the Handbook of Quantitative Methods for Detecting Cheating on Tests provides the most comprehensive treatment of statistical methods for detection that simply must be incorporated into any large-scale assessment program used for high-stakes decisions."--Wayne Camara! Senior Vice President! Research! ACTThis edited volume has taken the importance of test security in test validation to a different level. It reflects the maturity of the field of cheating detection! whereby statistical probabilities are no longer presented as inferential leaps into vague! colluded! remote chances of cheating behavior; rather! they are presented using precise empirical evidence that identifies specific cheating behaviors on which one can act. The authors bring together comprehensive knowledge on increasing data forensics and methodologies alongside legally presentable evidence to help reduce the fraudulent use of test results. The book will sit atop my bookshelf for years to come.--Ardeshir Geranpayeh! Head of Automated Assessment & Learning at Cambridge English Language Assessment! University of Cambridge! UK Informationen zum Autor Gregory J. Cizek is the Guy B. Phillips Distinguished Professor of Educational Measurement and Evaluation in the School of Education at the University of North Carolina, Chapel Hill, USA. James A. Wollack is Professor of Quantitative Methods in the Educational Psychology Department and Director of Testing and Evaluation Services at the University of Wisconsin, Madison, USA. Klappentext The Handbook of Quantitative Methods for Detecting Cheating on Tests is a comprehensive book that describes the variety of ways people cheat and the quantitative methods that have been developed to detect and combat them. Zusammenfassung The Handbook of Quantitative Methods for Detecting Cheating on Tests is a comprehensive book that describes the variety of ways people cheat and the quantitative methods that have been developed to detect and combat them. Inhaltsverzeichnis Editors’ Introduction SECTION I – INTRODUCTION Chapter 1 – Exploring Cheating on Tests: The Context, the Concern, and the Challenges Gregory J. Cizek and James A. Wollack SECTION II – METHODOLOGIES FOR IDENTIFYING CHEATING ON TESTS Section IIa – Detecting Similarity, Answer Copying, and Aberrance Chapter 2 – Similarity, Answer Copying, and Aberrance: Understanding the Status Quo Cengiz Zopluoglu Chapter 3 – Detecting Potential Collusion Among Individual Examinees Using Similarity Analysis Dennis D. Maynes Chapter 4 – Identifying and Investigating Aberrant Responses Using Psychometrics-Based and Machine Learning-Based Approaches Doyoung Kim, Ada Woo, and Phil Dickison Section IIb – Detecting Preknowledge and Item Compromise Chapter 5 – Detecting Preknowledge and Item Compromise: Understanding the Status Quo Carol A. Eckerly Chapter 6 – Detection of Test Collusion Using Cluster Analysis James A. Wollack and Dennis D. Maynes Chapter 7 – Detecting Candidate Preknowledge and Compromised Content Using Differential Person and Item Functioning Lisa S. O’Leary and Russell W. Smith Chapter 8 – Identification of Item Preknowledge by the Methods of Information Theory and Combinatorial Optimization Dmitry Belov Chapter 9 – Using Response Time Data to Detect Compromised Items and/or People <...
