Handbook Of Quantitative Methods For Detecting Cheating On Tests

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Handbook of Quantitative Methods for Detecting Cheating on Tests

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.
Testing in the Professions

Author: Susan Davis-Becker
language: en
Publisher: Taylor & Francis
Release Date: 2017-03-16
Testing in the Professions focuses on current practices in credentialing testing as a guide for practitioners. With a broad focus on the key components, issues, and concerns surrounding the test development and validation process, this book brings together a wide range of research and theory—from design and analysis of tests to security, scoring, and reporting. Written by leading experts in the field of measurement and assessment, each chapter includes authentic examples as to how various practices are implemented or current issues observed in credentialing programs. The volume begins with an exploration of the various types of credentialing programs as well as key differences in the interpretation and evaluation of test scores. The next set of chapters discusses key test development steps, including test design, content development, analysis, and evaluation. The final set of chapters addresses specific topics that span the testing process, including communication with stakeholders, security, program evaluation, and legal principles. As a response to the growing number of professions and professional designations that are tied to testing requirements, Testing in the Professions is a comprehensive source for up-to-date measurement and credentialing practices. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
Research for Practical Issues and Solutions in Computerized Multistage Testing

This volume presents a comprehensive collection of the latest research findings supporting the current and future implementations and applications of computerized multistage testing (MST). As a sequel to the widely acclaimed Computerized Multistage Testing: Theory and Applications (2014) by Yan, von Davier, and Lewis, this volume delves into the experiences, considerations, challenges, and lessons learned over the past years. It also offers practical approaches and solutions to the issues encountered. The topics covered include purposeful MST designs, practical approaches for optimal design, assembly strategies for accuracy and efficiency, hybrid designs, MST with natural language processing, practical routing considerations and methodologies, item calibration and proficiency estimation methods, routing and classification accuracy, added value of process data, prediction and evaluation of MST performance, cognitive diagnostic MST, differential item functioning, robustness of statistical methods, simulations, test security, the new digital large-scale Scholastic Aptitude Test, software for practical assessment and simulations, artificial intelligence impact, and the future of adaptive MST. This volume is intended for students, faculty, researchers, practitioners, and education officers in the fields of educational measurement and evaluation in the United States and internationally.