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Entropy 2010, 12(2), 161-163; doi:10.3390/e12020161
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Quantifying Information Content in Survey Data by Entropy

1,*  and 2
Received: 4 November 2009; in revised form: 6 January 2010 / Accepted: 26 January 2010 / Published: 28 January 2010
Download PDF [34 KB, uploaded 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 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.

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MDPI and ACS Style

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

AMA Style

Dahl FA, Østerås N. Quantifying Information Content in Survey Data by Entropy. Entropy. 2010; 12(2):161-163.

Chicago/Turabian Style

Dahl, Fredrik A.; Østerås, Nina. 2010. "Quantifying Information Content in Survey Data by Entropy." Entropy 12, no. 2: 161-163.


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