Next Article in Journal
Rehabilitating Information
Previous Article in Journal
The Quantum-Classical Transition as an Information Flow
Entropy 2010, 12(2), 161-163; doi:10.3390/e12020161
Letter

Quantifying Information Content in Survey Data by Entropy

1,*  and 2
Received: 4 November 2009 / Revised: 6 January 2010 / Accepted: 26 January 2010 / Published: 28 January 2010
Download PDF [34 KB, uploaded 24 February 2015]

Abstract

We apply Shannon entropy as a measure of information content in survey data, and define information efficiency as the empirical entropy divided by the maximum attainable entropy. In a case study of the Norwegian Function Assessment Scale, entropy calculations show that the 5-point response version has higher information efficiency than the 4-point version.
Keywords: entropy; information; survey; data; questionnaire entropy; information; survey; data; questionnaire
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.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
MDPI and ACS Style

Dahl, F.A.; Østerås, N. Quantifying Information Content in Survey Data by Entropy. Entropy 2010, 12, 161-163.

View more citation formats

Article Metrics

For more information on the journal, click here

Comments

Cited By

[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert