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Quantifying information content in survey data by entropy - MaRDI portal

Quantifying information content in survey data by entropy (Q653347)

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scientific article; zbMATH DE number 5995841
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Quantifying information content in survey data by entropy
scientific article; zbMATH DE number 5995841

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    Quantifying information content in survey data by entropy (English)
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    9 January 2012
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    Summary: 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.
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    entropy
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    information
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    survey
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    data
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    questionnaire
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