Metrics of Subjective Well-Being: Limits and Improvements

書誌詳細
団体著者: SpringerLink (Online service)
その他の著者: Brulé, Gaël (編集者), Maggino, Filomena (編集者)
要約:X, 264 p. 30 illus., 15 illus. in color.
text
言語:英語
出版事項: Cham : Springer International Publishing : Imprint: Springer, 2017.
版:1st ed. 2017.
シリーズ:Happiness Studies Book Series,
主題:
オンライン・アクセス:https://doi.org/10.1007/978-3-319-61810-4
フォーマット: 電子媒体 図書
目次:
  • Chapter 1. Towards more complexity in subjective well-being studies; Gaël Brulé and Filomena Maggino
  • Part I. Conceptual Issues
  • Chapter 2. Can Good Life Be Measured? The dimensions and measurability of a life worth living; Frank Martela
  • Chapter 3. The Subjective Object of Well-Being Studies. Well-being as the experience of being well; Mariano Rojas
  • Part II
  • Measurement issues
  • Chapter 4. Measures of Happiness: Which to choose?; Ruut Veenhoven
  • Chapter 5. Explaining the decline in subjective well-being over time in panel data; Katia Iglesias, Pascale Gazareth and Christian Suter
  • Chapter 6. Reducing current limitations in order to enhance the quality of subjective well-being research: the example of mindfulness; Rebecca Shankland, Ilios Kotsou, Caroline Cuny, Lionel Strub, and Nicholas J. L. Brown
  • Chapter 7. Measuring indecision in happiness studies; Stefania Capecchi
  • Part III
  • Comparability issues
  • Chapter 8. Evaluating comparabi lity of survey data on subjective wellbeing data; Inga Kristoffersen
  •  Chapter 9. Label scale and rating scale in subjective well-being measurement; Ester Macri
  • Part IV
  • Possible improvements of the measurability of subjective well-being
  • Chapter 10. Culture and Well Being: A Research Agenda Designed to Improve Cross-Cultural Research Involving the Life Satisfaction Construct; Dong-Jin Lee, Grace B. Yu and Joseph Sirgy
  • Chapter 11. A Reconsideration of the Easterlin Happiness-Income Paradox; Kenneth Land, Vicki Lamb & Xiaolu Zang
  • Chapter 12. Methods to Increase the Comparability in Cross-National Surveys, Highlight on the Scale Interval Method and the Reference Distribution Method; Tineke de Jonge.