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Title Handbook of quantitative methods for detecting cheating on tests / edited by Gregory J. Cizek and James A. Wollack
Published Abingdon, Oxon ; New York, NY : Routledge, an imprint of the Taylor & Francis Group, 2016

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Description 1 online resource (xvi, 428 pages)
Contents Exploring Cheating on Tests : The Context, the Concern, and the Challenges / Gregory J. Cizek and James A. Wollack -- Similarity, Answer Copying, and Aberrance : Understanding the Status Quo / Cengiz Zopluoglu -- Detecting Potential Collusion among Individual Examinees using Similarity Analysis / Dennis D. Maynes -- Identifying and Investigating Aberrant Responses Using Psychometrics-Based and Machine Learning-Based Approaches / Doyoung Kim, Ada Woo, and Phil Dickison -- Detecting Preknowledge and Item Compromise : Understanding the Status Quo / Carol A. Eckerly -- Detection of Test Collusion using Cluster Analysis / James A. Wollack -- Detecting Candidate Pre-knowledge and Compromised Content using Differential Person and Item Functioning / Lisa O'Leary and Russell Smith -- Identification of Item Preknowledge by the Methods of Information Theory and Combinatorial Optimization / Dmitry Belov -- Using Response Time Data to Detect Compromised Items and/or People / Keith A. Boughton, Jessalyn Smith and Hao Ren -- Detecting Erasures and Unusual Gain Scores : Understanding the Status Quo / Scott Bishop and Karla Egan -- Detection of Test Tampering at the Group Level / James A. Wollack and Carol A. Eckerly -- A Bayesian Hierarchical Linear Model for Detecting Aberrant Growth at the Group Level / William P. Skorupski, Joe Fitzpatrick and Karla Egan -- Using Nonlinear Regression to Identify Unusual Performance Level Classification Rates / J. Michael Clark, William P. Skorupski and Stephen Murphy -- Detecting Unexpected Changes in Pass Rates : A Comparison of Two Statistical Approaches / Matthew N. Gaertner and Yuanyuan Z. McBride -- Security Vulnerabilities Facing Next Generation Accountability Testing / Joseph Martineau, Daniel Jurich, Jeffrey B. Hauger, and Kristen Huff -- Establishing Baseline Data for Incidents of Misconduct in the NextGen Assessment Environment / Deborah J. Harris and Chi-Yu Huang -- Visual Displays of Test Fraud Data / Brett P. Foley -- The Case for Bayesian Methods when Investigating Test Fraud / William P. Skorupski and Howard Wainer -- When Numbers Are Not Enough : Collection and Use of Collateral Evidence to Assess the Ethics and Professionalism of Examinees Suspected of Test Fraud / Marc J. Weinstein -- What We Have Learned? / Lorin Mueller, Yu Zhang and Steve Ferrara -- The Future of Quantitative Methods for Detecting Cheating : Conclusions, Cautions, and Recommendations / James A. Wollack and Gregory J. Cizek
Summary "The rising reliance on testing in American education and for licensure and certification has been accompanied by an escalation in cheating on tests at all levels. Edited by two of the foremost experts on the subject, the Handbook of Quantitative Methods for Detecting Cheating on Tests offers a comprehensive compendium of increasingly sophisticated data forensics used to investigate whether or not cheating has occurred. Written for practitioners, testing professionals, and scholars in testing, measurement, and assessment, this volume builds on the claim that statistical evidence often requires less of an inferential leap to conclude that cheating has taken place than do other, more common sources of evidence. This handbook is organized into sections that roughly correspond to the kinds of threats to fair testing represented by different forms of cheating. In Section I, the editors outline the fundamentals and significance of cheating, and they introduce the common datasets to which chapter authors' cheating detection methods were applied. Contributors describe, in Section II, methods for identifying cheating in terms of improbable similarity in test responses, preknowledge and compromised test content, and test tampering. Chapters in Section III concentrate on policy and practical implications of using quantitative detection methods. Synthesis across methodological chapters as well as an overall summary, conclusions, and next steps for the field are the key aspects of the final section."--Provided by publisher
Bibliography Includes bibliographical references
Notes Print version record
Subject Cheating (Education) -- Prevention -- Methodology
Cheating (Education) -- Prevention -- Statistical methods
Educational tests and measurements.
Educational Measurement
EDUCATION -- Administration -- General.
EDUCATION -- Organizations & Institutions.
Educational tests and measurements
Genre/Form handbooks.
Handbooks and manuals.
Guides et manuels.
Form Electronic book
Author Cizek, Gregory J., editor
Wollack, James A., editor
ISBN 9781317588108
131758810X
9781315743097
1315743094
9781317588092
1317588096