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.This volume analyses the quantification of the effect of factors measuring subjective well-being, and in particular on the metrics applied. With happiness studies flourishing over the last decades, both in number of publications as well as in their exposure, researchers working in this field are aware of potential weaknesses and pitfalls of these metrics. Contributors to this volume reflect on different factors influencing quantification, such as scale size, wording, language, biases, and cultural comparability in order to raise awareness on the tools and on their conditions of use. .