Open AccessThis article is
- freely available
Quantifying Information Content in Survey Data by Entropy
Helse Sør-Øst Health Services Research Centre, Akershus University Hospital, Mail drawer 95, NO-1474 Lørenskog, Norway
The National Resource Centre in Rheumatology, Diakonhjemmet hospital, P.O. Box 23 Vinderen, NO-0319 Oslo, Norway
* Author to whom correspondence should be addressed.
Received: 4 November 2009; in revised form: 6 January 2010 / Accepted: 26 January 2010 / Published: 28 January 2010
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
Article StatisticsClick here to load and display the download statistics.
Notes: Multiple requests from the same IP address are counted as one view.
Cite This Article
MDPI and ACS Style
Dahl, F.A.; Østerås, N. Quantifying Information Content in Survey Data by Entropy. Entropy 2010, 12, 161-163.
Dahl FA, Østerås N. Quantifying Information Content in Survey Data by Entropy. Entropy. 2010; 12(2):161-163.
Dahl, Fredrik A.; Østerås, Nina. 2010. "Quantifying Information Content in Survey Data by Entropy." Entropy 12, no. 2: 161-163.