A Series of Papers on Detecting Examinees who Used a Flawed Answer Key

One way that examinees can gain an unfair advantage on a test is by having prior access to the test questions and their answers, known as preknowledge. Determining which examinees had preknowledge can be a difficult task. Sometimes, the compromised test content that examinees use to get preknowledge...

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Main Author: Scott, Marcus W.
Format: Others
Published: DigitalCommons@USU 2018
Subjects:
Online Access:https://digitalcommons.usu.edu/etd/6923
https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=8027&context=etd
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spelling ndltd-UTAHS-oai-digitalcommons.usu.edu-etd-80272019-10-13T05:54:58Z A Series of Papers on Detecting Examinees who Used a Flawed Answer Key Scott, Marcus W. One way that examinees can gain an unfair advantage on a test is by having prior access to the test questions and their answers, known as preknowledge. Determining which examinees had preknowledge can be a difficult task. Sometimes, the compromised test content that examinees use to get preknowledge has mistakes in the answer key. Examinees who had preknowledge can be identified by determining whether they used this flawed answer key. This research consisted of three papers aimed at helping testing programs detect examinees who used a flawed answer key. The first paper developed three methods for detecting examinees who used a flawed answer key. These methods were applied to a real data set with a flawed answer key for which 37 of the 65 answers were incorrect. One requirement for these three methods was that the flawed answer key had to be known. The second paper studied the problem of estimating an unknown flawed answer key. Four methods of estimating the unknown flawed key were developed and applied to real and simulated data. Two of the methods had promising results. The methods of estimating an unknown flawed answer key required comparing examinees’ response patterns, which was a time-consuming process. In the third paper, OpenMP and OpenACC were used to parallelize this process, which allowed for larger data sets to be analyzed in less time. 2018-05-01T07:00:00Z text application/pdf https://digitalcommons.usu.edu/etd/6923 https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=8027&context=etd Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact digitalcommons@usu.edu. All Graduate Theses and Dissertations DigitalCommons@USU series papers detecting examinees flawed answer key Mathematics
collection NDLTD
format Others
sources NDLTD
topic series
papers
detecting
examinees
flawed
answer key
Mathematics
spellingShingle series
papers
detecting
examinees
flawed
answer key
Mathematics
Scott, Marcus W.
A Series of Papers on Detecting Examinees who Used a Flawed Answer Key
description One way that examinees can gain an unfair advantage on a test is by having prior access to the test questions and their answers, known as preknowledge. Determining which examinees had preknowledge can be a difficult task. Sometimes, the compromised test content that examinees use to get preknowledge has mistakes in the answer key. Examinees who had preknowledge can be identified by determining whether they used this flawed answer key. This research consisted of three papers aimed at helping testing programs detect examinees who used a flawed answer key. The first paper developed three methods for detecting examinees who used a flawed answer key. These methods were applied to a real data set with a flawed answer key for which 37 of the 65 answers were incorrect. One requirement for these three methods was that the flawed answer key had to be known. The second paper studied the problem of estimating an unknown flawed answer key. Four methods of estimating the unknown flawed key were developed and applied to real and simulated data. Two of the methods had promising results. The methods of estimating an unknown flawed answer key required comparing examinees’ response patterns, which was a time-consuming process. In the third paper, OpenMP and OpenACC were used to parallelize this process, which allowed for larger data sets to be analyzed in less time.
author Scott, Marcus W.
author_facet Scott, Marcus W.
author_sort Scott, Marcus W.
title A Series of Papers on Detecting Examinees who Used a Flawed Answer Key
title_short A Series of Papers on Detecting Examinees who Used a Flawed Answer Key
title_full A Series of Papers on Detecting Examinees who Used a Flawed Answer Key
title_fullStr A Series of Papers on Detecting Examinees who Used a Flawed Answer Key
title_full_unstemmed A Series of Papers on Detecting Examinees who Used a Flawed Answer Key
title_sort series of papers on detecting examinees who used a flawed answer key
publisher DigitalCommons@USU
publishDate 2018
url https://digitalcommons.usu.edu/etd/6923
https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=8027&context=etd
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