Test Fraud: Statistical Detection And Methodology by Neal KingstonTest Fraud: Statistical Detection And Methodology by Neal Kingston

Test Fraud: Statistical Detection And Methodology

EditorNeal Kingston, Amy Clark

Hardcover | April 28, 2014

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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.

Neal Kingstonis 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 Execut...
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Title:Test Fraud: Statistical Detection And MethodologyFormat:HardcoverDimensions:284 pages, 9 × 6.2 × 0.8 inPublished:April 28, 2014Publisher:Taylor and FrancisLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:041571124X

ISBN - 13:9780415711241

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Table of Contents

1. IntroductionNeal Kingston and Amy Clark2. A Brief History of Research on Test Fraud Detection and PreventionAmy Clark and Neal Kingston3. Cheating: Some Ways to Detect it BadlyHoward WainerPart 1: Similarities in Responses4. Relationships of Examinee Pair Characteristics and Item Response SimilarityJeff Allen5. A Parametric Approach to Detect a Disproportionate Number of Identical Item Responses on a TestLeonardo S. Sotaridona, Arianto Wibowo, and Irene Hendrawan6. Detection of Non-Independent Test Taking by Similarity AnalysisDennis MaynesPart 2: Macro Level Cheating7. Local Outlier Detection in Data Forensics: Data Mining Approach to Flag Unusual SchoolsMayuko Simon8. Macro Level Systems of Statistical Evidence Indicative of CheatingMichael Chajewski, YoungKoung Kim, Judit Antal, and Kevin Sweeney9. A Bayesian Hierarchical Linear Modeling Approach for Detecting Cheating and AberranceWilliam Skorupski and Karla EganPart 3: Answer Changing Behavior10. Patterns of Erasure Behavior for a Large-Scale AssessmentAndrew A. Mroch, Yang Lu, Chi-Yu Huang, and Deborah J. Harris11. AYP consequences and Erasure BehaviorVincent Primoli12. An Exploration of Answer Changing Behavior on a Computer-Based High-Stakes Achievement TestGail C. Tiemann and Neal M. KingstonPart 4: Detection of Aberrant Responses13. Identifying Non-Effortful Student Behavior on Adaptive Tests: Implications for Test Fraud DetectionSteven L. Wise, Lingling Ma, and Robert A. Theaker14. A Method for Measuring Performance Inconsistency by Using Score DifferencesDennis MaynesPart 5: Multiple Methods15. Data Forensics: A Compare-and-Contrast Analysis of Multiple MethodsChristie Plackner and Vincent Primoli16. Using Multiple Methods to Detect Aberrant DataKarla Egan and Jessalyn Smith17. Test Security for Multistage Tests: A Quality Control PerspectiveCharles Lewis, Yi-Hsuan Lee and Alina A. von Davier

Editorial Reviews

"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