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Metrics of Subjective Well-Being: Limits and Improvements

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Cover of 'Metrics of Subjective Well-Being: Limits and Improvements'

Table of Contents

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    Book Overview
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    Chapter 1 Towards More Complexity in Subjective Well-Being Studies
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    Chapter 2 Can Good Life Be Measured? The Dimensions and Measurability of a Life Worth Living
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    Chapter 3 The Subjective Object of Well-Being Studies: Well-Being as the Experience of Being Well
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    Chapter 4 Measures of Happiness: Which to Choose?
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    Chapter 5 Explaining the Decline in Subjective Well-Being Over Time in Panel Data
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    Chapter 6 Reducing Current Limitations in Order to Enhance the Quality of Subjective Well-Being Research: The Example of Mindfulness
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    Chapter 7 Measuring Indecision in Happiness Studies
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    Chapter 8 Evaluating Comparability of Survey Data on Subjective Well-being
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    Chapter 9 Label Scale and Rating Scale in Subjective Well-Being Measurement
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    Chapter 10 Culture and Well-Being: A Research Agenda Designed to Improve Cross-Cultural Research Involving the Life Satisfaction Construct
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    Chapter 11 Objective and Subjective Indices of Well-Being: Resolving the Easterlin Happiness–Income Paradox
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    Chapter 12 Methods to Increase the Comparability in Cross-National Surveys, Highlight on the Scale Interval Method and the Reference Distribution Method
Attention for Chapter 9: Label Scale and Rating Scale in Subjective Well-Being Measurement
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Chapter title
Label Scale and Rating Scale in Subjective Well-Being Measurement
Chapter number 9
Book title
Metrics of Subjective Well-Being: Limits and Improvements
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-61810-4_9
Book ISBNs
978-3-31-961809-8, 978-3-31-961810-4
Authors

Ester Macri

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 100%
Readers by discipline Count As %
Economics, Econometrics and Finance 1 100%

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