Please use this identifier to cite or link to this item: https://repository.seku.ac.ke/handle/123456789/6277
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dc.contributor.authorMbala, Simon-
dc.contributor.authorManene, M. M.-
dc.contributor.authorOttieno, J. A. M.-
dc.date.accessioned2021-06-21T12:42:01Z-
dc.date.available2021-06-21T12:42:01Z-
dc.date.issued2020-
dc.identifier.citationInternational Journal of Mathematics And its Applications, 8(4), 49–53en_US
dc.identifier.issn2347-1557-
dc.identifier.urihttp://ijmaa.in/v8n4/49-53.pdf-
dc.identifier.urihttp://repository.seku.ac.ke/handle/123456789/6277-
dc.description.abstractExaminations across the world play a vital role in the education system. Unfortunately, the process of examinations is greatly affected by the act of cheating hence giving a wrong impression on the results. The research on examination dishonesty among secondary school students is considered to be a sensitive issue, thus direct questioning techniques are not useful as the respondents will either refuse to answer the survey questions or even if they do, may give false answers for fear of being known to have been involved in the cheating. In this paper we have tested the validity of Symmetric truth detection models using examination dishonesty research. This research was done in a national Secondary school in Kenya. The results were used to validate the Symmetric Truth detection models by comparing the results with the results of the Asymmetric questioning technique. We have shown that the Symmetric truth detection models are more reliable when investigating sensitive information compared to Asymmetric truth detection models.en_US
dc.language.isoenen_US
dc.subjectRandomized responseen_US
dc.subjectSymmetric questioning techniqueen_US
dc.subjectSensitive questionsen_US
dc.subjectAsymmetric questioning techniqueen_US
dc.subjectexamination dishonestyen_US
dc.titleValidation of symmetric tuth detection models using examination dishonesty researchen_US
dc.typeArticleen_US
Appears in Collections:School of Science and Computing (JA)

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