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

An Application of Entropy in Survey Scale

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
PDF Full-text Download PDF Full-Text [165 KB, uploaded 14 October 2009 15:55 CEST]
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

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

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

AMA Style

Oruç ÖE, Kuruoğlu E, Vupa Ö. An Application of Entropy in Survey Scale. Entropy. 2009; 11(4):598-605.

Chicago/Turabian Style

Oruç, Özlem E.; Kuruoğlu, Emel; Vupa, Özgül. 2009. "An Application of Entropy in Survey Scale." Entropy 11, no. 4: 598-605.

Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert