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Entropy 2009, 11(4), 598-605; doi:10.3390/e11040598
Article

An Application of Entropy in Survey Scale

* ,
 and
Department of Statistics, Dokuz Eylül University; Fen Edebiyat Fakültesi, Tınaztepe Kampüsü 35160 Buca İzmir, Turkey
* Author to whom correspondence should be addressed.
Received: 7 July 2009 / Accepted: 11 October 2009 / Published: 14 October 2009
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Abstract

This study demonstrates an application of entropy for information theory in the field of survey scale. Based on computer anxiety scale we obtain that the desired information may be achieved with fewer questions. In particular, one question is insufficient and two questions are necessary for a survey subscale.
Keywords: entropy; Kullback-Leibler divergence; joint entropy; mutual information; survey scale entropy; Kullback-Leibler divergence; joint entropy; mutual information; survey scale
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Oruç, Ö.E.; Kuruoğlu, E.; Vupa, Ö. An Application of Entropy in Survey Scale. Entropy 2009, 11, 598-605.

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