Establishing Baseline Data for Incidents of Misconduct in the Nextgen Assessment Environment

Authored by: Deborah J. Harris , Chi-Yu Huang

Handbook of Quantitative Methods for Detecting Cheating on Tests

Print publication date:  October  2016
Online publication date:  October  2016

Print ISBN: 9781138821804
eBook ISBN: 9781315743097
Adobe ISBN: 9781317588108

10.4324/9781315743097.ch16

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Abstract

In high-stakes testing environments, such as when a student’s promotion to the next grade or whether a teacher retains his or her position depends on the result of a testing event, incidents of assessment impropriety that may affect the validity of test scores are a concern. Statistical indices and procedures designed to flag or help detect instances of potential misconduct are prevalent, and the development of new techniques and methodologies appears to be flourishing (see, for example, the programs of the Annual Conferences on Test Security). Although it is acknowledged that statistical methods in and of themselves cannot prove some type of irregularity occurred (see, for example, Cizek, 1999; Harris & Schoenig, 2013), they can be strong tools in identifying situations deserving a closer look and protecting the integrity of test scores and the decisions based on them.

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