Test Fraud: Statistical Detection and Methodology (Routledge Research in Education)

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9780415711241: Test Fraud: Statistical Detection and Methodology (Routledge Research in Education)
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There has been an increase in awareness (and perhaps occurrence) of individual and organized cheating on tests. Recent reports of widespread problems with state student accountability tests and teacher certification testing have raised questions about the very validity of assessment programs. While there are several books that specifically detail the issues of test security cheating on assessments, few outline the statistical procedures used for detecting various types of potential test fraud and the associated research findings. Without a significant research literature base, the new generation of researchers will have little opportunity or incentive to improve on existing methods.

Enlisting a variety of experts and scholars in different fields of testing, this edited volume expands on the current literature base by including examples of detailed research findings arrived at by statistical methodology. It also provides a synthesis of the current state of the art with regard to the statistical detection of testing infidelity, particularly for large-scale assessments. By presenting methods currently used by testing organizations and research on new methods, the volume offers an important forum for expanding the literature in this area.

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About the Author:

Neal Kingston is the Director of the Achievement and Assessment Institute, Co-Director of the Center for Educational Testing and Evaluation, and Professor of Educational Psychology at the University of Kansas. He has managed all aspects of the educational testing process for both general and alternate assessments, including as an Executive Director at Educational Testing Service, Associate Commissioner for Curriculum and Assessment at the Kentucky Department of Education, Senior Vice President at Measured Progress, Vice President and General Manager at CTB/McGraw-Hill, and Director of CETE at the University of Kansas. He has published and presented more than 100 articles, papers, and book chapters on assessment.

Amy Clark is a Research Associate in psychometrics at the Center for Educational Testing and Evaluation at the University of Kansas. She began her career as a classroom teacher and received both her M.S and Ph.D. in Educational Psychology from the University of Kansas specializing in Research, Evaluation, Measurement, and Statistics. Her research interests include exploring potential threats to validity, accountability issues, and diagnostic assessment.

Review:

"A very solid review of statistical methods to detect cheating on tests. Kingston has built on his quite successful cheating detection conference and provided those of us who want to keep up with developments in the field a useful resource."Gregory Cizek, University of North Carolina - Chapel Hill, USA

"This book addresses a current and future critical need by bringing together in one place the methods used to analyze test results for a variety of types of test fraud. Given the obvious epidemic of cheating in high-stakes testing programs, in the world today, from education to the workplace, its publication could not have come at a better time."David Foster, CEO, Caveon Test Security

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Book Description Taylor Francis Ltd, United Kingdom, 2014. Hardback. Condition: New. Language: English . Brand New Book. There has been an increase in awareness (and perhaps occurrence) of individual and organized cheating on tests. Recent reports of widespread problems with state student accountability tests and teacher certification testing have raised questions about the very validity of assessment programs. While there are several books that specifically detail the issues of test security cheating on assessments, few outline the statistical procedures used for detecting various types of potential test fraud and the associated research findings. Without a significant research literature base, the new generation of researchers will have little opportunity or incentive to improve on existing methods. Enlisting a variety of experts and scholars in different fields of testing, this edited volume expands on the current literature base by including examples of detailed research findings arrived at by statistical methodology. It also provides a synthesis of the current state of the art with regard to the statistical detection of testing infidelity, particularly for large-scale assessments. By presenting methods currently used by testing organizations and research on new methods, the volume offers an important forum for expanding the literature in this area. Seller Inventory # AA69780415711241

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Book Description Taylor Francis Ltd, United Kingdom, 2014. Hardback. Condition: New. Language: English . Brand New Book. There has been an increase in awareness (and perhaps occurrence) of individual and organized cheating on tests. Recent reports of widespread problems with state student accountability tests and teacher certification testing have raised questions about the very validity of assessment programs. While there are several books that specifically detail the issues of test security cheating on assessments, few outline the statistical procedures used for detecting various types of potential test fraud and the associated research findings. Without a significant research literature base, the new generation of researchers will have little opportunity or incentive to improve on existing methods. Enlisting a variety of experts and scholars in different fields of testing, this edited volume expands on the current literature base by including examples of detailed research findings arrived at by statistical methodology. It also provides a synthesis of the current state of the art with regard to the statistical detection of testing infidelity, particularly for large-scale assessments. By presenting methods currently used by testing organizations and research on new methods, the volume offers an important forum for expanding the literature in this area. Seller Inventory # AA69780415711241

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