Literature DB >> 32879537

Detection of Item Preknowledge Using Response Times.

Sandip Sinharay1.   

Abstract

Benefiting from item preknowledge is a major type of fraudulent behavior during educational assessments. This article suggests a new statistic that can be used for detecting the examinees who may have benefited from item preknowledge using their response times. The statistic quantifies the difference in speed between the compromised items and the non-compromised items of the examinees. The distribution of the statistic under the null hypothesis of no preknowledge is proved to be the standard normal distribution. A simulation study is used to evaluate the Type I error rate and power of the suggested statistic. A real data example demonstrates the usefulness of the new statistic that is found to provide information that is not provided by statistics based only on item scores.
© The Author(s) 2020.

Keywords:  Wald statistic; item compromise; likelihood ratio statistic

Year:  2020        PMID: 32879537      PMCID: PMC7433384          DOI: 10.1177/0146621620909893

Source DB:  PubMed          Journal:  Appl Psychol Meas        ISSN: 0146-6216


  7 in total

1.  Marginal likelihood inference for a model for item responses and response times.

Authors:  Cees A W Glas; Wim J van der Linden
Journal:  Br J Math Stat Psychol       Date:  2010-01-28       Impact factor: 3.380

2.  The use of item scores and response times to detect examinees who may have benefited from item preknowledge.

Authors:  Sandip Sinharay; Matthew S Johnson
Journal:  Br J Math Stat Psychol       Date:  2019-08-16       Impact factor: 3.380

3.  Improving precision of ability estimation: Getting more from response times.

Authors:  Maria Bolsinova; Jesper Tijmstra
Journal:  Br J Math Stat Psychol       Date:  2017-06-21       Impact factor: 3.380

4.  Which Statistic Should Be Used to Detect Item Preknowledge When the Set of Compromised Items Is Known?

Authors:  Sandip Sinharay
Journal:  Appl Psychol Meas       Date:  2017-03-26

5.  Detecting Test Tampering Using Item Response Theory.

Authors:  James A Wollack; Allan S Cohen; Carol A Eckerly
Journal:  Educ Psychol Meas       Date:  2015-01-23       Impact factor: 2.821

6.  Using Deterministic, Gated Item Response Theory Model to detect test cheating due to item compromise.

Authors:  Zhan Shu; Robert Henson; Richard Luecht
Journal:  Psychometrika       Date:  2013-01-03       Impact factor: 2.500

7.  A note on the hierarchical model for responses and response times in tests of van der Linden (2007).

Authors:  Jochen Ranger
Journal:  Psychometrika       Date:  2013-02-02       Impact factor: 2.500

  7 in total

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