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From Discrete 1 to 10 Towards Continuous 0 to 10: The Continuum Approach to Estimating the Distribution of Happiness in a Nation

Overview of attention for article published in Social Indicators Research, October 2011
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Title
From Discrete 1 to 10 Towards Continuous 0 to 10: The Continuum Approach to Estimating the Distribution of Happiness in a Nation
Published in
Social Indicators Research, October 2011
DOI 10.1007/s11205-011-9943-1
Pubmed ID
Authors

Wim Kalmijn

Abstract

Happiness is often measured in surveys using responses to a single question with a limited number of response options, such as 'very happy', 'fairly happy' and 'not too happy'. There is much variety in the wording and number of response options used, which limits comparability across surveys. To solve this problem, descriptive statistics of the discrete distribution in the sample are often transformed to a common discrete secondary scale, mostly ranging from 0 to 10. In an earlier publication we proposed a method for estimating statistics of the corresponding continuous distribution in the population (Kalmijn 2010). In the present paper we extend this method to questions using numerical response scales. The application of this 'continuum approach' to results obtained using the often used 1-10 numerical scale can make these comparable to those obtained on the basis of verbal response scales.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Colombia 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 19%
Student > Ph. D. Student 4 13%
Student > Bachelor 4 13%
Professor 3 10%
Researcher 2 6%
Other 5 16%
Unknown 7 23%
Readers by discipline Count As %
Social Sciences 8 26%
Economics, Econometrics and Finance 6 19%
Arts and Humanities 1 3%
Computer Science 1 3%
Agricultural and Biological Sciences 1 3%
Other 5 16%
Unknown 9 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 February 2013.
All research outputs
#15,261,106
of 22,693,205 outputs
Outputs from Social Indicators Research
#1,286
of 1,722 outputs
Outputs of similar age
#94,212
of 135,946 outputs
Outputs of similar age from Social Indicators Research
#10
of 11 outputs
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So far Altmetric has tracked 1,722 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.