Test fraud : statistical detection and methodology /

Test fraud : statistical detection and methodology / edited by Neal M. Kingston and Amy K. Clark.

"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....

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Bibliographic Details
Online Access: Full Text (via Taylor & Francis)
Main Authors: Kingston, Neal M. (Author, Editor), Clark, Amy K. (Author, Editor)
Format: eBook
Language:English
Published: New York : Routledge, 2014.
Series:Routledge research in education ; 114.
Subjects:
Cheating (Education) > Prevention > Methodology.
Cheating (Education) > Prevention > Statistical methods.
Educational tests and measurements.
Table of Contents:
  • Introduction / Neal M. Kingston and Amy K. Clark
  • A brief history of research on test fraud detection and prevention / Amy K. Clark and Neal M. Kingston
  • Cheating : some ways to detect it badly / Howard Wainer
  • Relationships of examinee pair characteristics and item response similarity / Jeff Allen
  • A parametric approach to detect a disproportionate number of identical item responses on a test / Leonardo S. Sotaridona, Arianto Wibowo, and Irene Hendrawan
  • Detection of non-independent test taking by similarity analysis / Dennis Maynes
  • Local outlier detection in data forensics : data mining approach to flag unusual schools / Mayuko Simon
  • Macro level systems of statistical evidence indicative of cheating / Michael Chajewski, YoungKoung Kim, Judit Antal, and Kevin Sweeney
  • A Bayesian hierarchical linear modeling approach for detecting cheating and aberrance / William Skorupski and Karla Egan
  • Patterns of examinee erasure behavior for a large-scale assessment / Andrew A. Mroch, Yang Lu, Chi-Yu Huang, and Deborah J. Harris
  • AYP consequences and erasure behavior / Vincent Primoli
  • An exploration of answer changing behavior on a computer-based high-stakes achievement test / Gail C. Tiemann and Neal M. Kingston
  • Identifying non-effortful student behavior on adaptive tests : implications for test fraud detection / Steven L. Wise, Lingling Ma, and Robert A. Theaker
  • A method for measuring performance inconsistency by using score differences / Dennis Maynes
  • Data forensics : a compare-and-contrast analysis of multiple methods / Christie Plackner and Vincent Primoli
  • Using multiple methods to detect aberrant data / Karla L. Egan and Jessalyn Smith
  • Test security for multistage tests : a quality control perspective / Charles Lewis, Yi-Hsuan Lee and Alina A. von Davier.

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