Please use this identifier to cite or link to this item: https://repository.seku.ac.ke/handle/123456789/6277
Title: Validation of symmetric tuth detection models using examination dishonesty research
Authors: Mbala, Simon
Manene, M. M.
Ottieno, J. A. M.
Keywords: Randomized response
Symmetric questioning technique
Sensitive questions
Asymmetric questioning technique
examination dishonesty
Issue Date: 2020
Citation: International Journal of Mathematics And its Applications, 8(4), 49–53
Abstract: Examinations 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.
URI: http://ijmaa.in/v8n4/49-53.pdf
http://repository.seku.ac.ke/handle/123456789/6277
ISSN: 2347-1557
Appears in Collections:School of Science and Computing (JA)

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