An Application of Entropy in Survey Scale

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EGE ORUÇ Ö., KURUOĞLU KANDEMİR E., Vupa Ö.

ENTROPY, vol.11, no.4, pp.598-605, 2009 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 11 Issue: 4
  • Publication Date: 2009
  • Doi Number: 10.3390/e11040598
  • Journal Name: ENTROPY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.598-605
  • Keywords: entropy, Kullback-Leibler divergence, joint entropy, mutual information, survey scale
  • Open Archive Collection: AVESIS Open Access Collection
  • Dokuz Eylül University Affiliated: Yes

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.