Quantifying Information Content in Survey Data by Entropy

被引：9

作者：

Dahl, Fredrik A. ^{[1
]}

Osteras, Nina ^{[2
]}

机构：

[1] Akershus Univ Hosp, Helse Sor Ost Hlth Serv Res Ctr, NO-1474 Lorenskog, Norway

[2] Diakonhjemmet Hosp, Natl Resource Ctr Rheumatol, NO-0319 Oslo, Norway

来源：

ENTROPY | 2010年 / 12卷 / 02期

关键词：

entropy; information; survey; data; questionnaire; SCALE;

D O I：

10.3390/e12020161

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

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.

引用

页码：161 / 163

页数：3

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