book chapters
- Preface Preface
- Chapter 1 Introducing well-being data
- Chapter 2 Knowing well-being: a history of data
- chapter 3 Looking at Well-being Data in Context
- chapter 4 Discovering ‘the new science of happiness’ and subjective well-being
- chapter 5 Getting a sense of Big Data and well-being
- chapter 6 Relating well-being, values, culture and society
- chapter 7 Evidencing Culture for Policy
- chapter 8 Talking different languages of value
- chapter 9 Understanding
book contents
Lists of tables, figures and glossary boxes
- Figure 3.1 OECD well-being indicators
- Figure 4.1 Accounts and examples of subjective well-being measures
- Figure 4.2 Cantril’s ladder for people to rate their own well-being in surveys
- Figure 4.3 PANAS Questionnaire used in well-being surveys
- Figure 5.1 Some examples of personal data used for social analytics in the age of Big Data
- Figure 5.2 ‘What is Happiness?’ Mass Observation flyer, 1938
- Figure 5.3 Mass Observation happiness question tweets with the hashtag #MOHappy
- Figure 7.1 Drawing a relationship between arts funding and life satisfaction over time
- Table 3.1 Data sources and their uses
- Table 3.2 ‘A re-ordering’ of priorities in the Measuring National Wellbeing Debate Questionnaires
- Table 3.3 Overview of data types and possibilities for answering questions well-being questions
- Table 3.4 Summary of the OECD indicators in 2010
- Table 4.1 Subjective well-being measures and their uses in policy
- Table 4.2 The ONS4 capture different aspects of well-being
- Table 4.3 Surveys containing the ONS4
- Table 5.1 Ways that Big Data are different
- Table 5.2 Some qualities of Big Data
- Table 5.3 Sources of Big Data and their pros and cons for well-being measurement
- Table 5.4 Happiness activities rankings from a mobile phone app
- Table 7.1 Life satisfaction data 2002/2003–2009/2010
- Table 7.2 Policy spending on the arts and life satisfaction
- Table 7.3 Occupations in the creative industries
- Table 7.4 A comparison of culture and well-being questions across the four surveys used in the two case studies
- Table 7.5 Controls used in two studies looking at well-being and creatives
- Table 7.6 Variables used to understand the ‘interaction between culture, health and psychological well-being’
- Table 7.7 The Psychological General Well-being Index questions used to understand the ‘interaction between culture, health and psychological well-being’
- Table 8.1 Participation variables modelled in ‘Museums and Happiness’
- Table 8.2 Variables modelled in ‘Museums and Happiness’ that are not about participation
- Table 8.3 Health and subjective well-being variables, questions and rationales in ‘Museums and Happiness’
- Box 2.1 Ideology
- Box 2.2 The Characteristics of New Public Management
- Box 2.3 Intrinsic and Extrinsic Value
- Box 2.4 Positive and Normative Economics
- Box 2.5 Four Key Approaches to Valuation
- Box 3.1 Methodology
- Box 3.2 A Composite Index
- Box 3.3 Validity
- Box 3.4 Weights and Sampling Bias
- Box 5.1 Tweets Answering the Question: ‘What Is Happiness?’
- Box 6.1 The Culture–Well-being Relationship
- Box 7.1 Operationalisation as a Process in Research
- Box 7.2 Primary, Secondary and Tertiary Data
- Box 7.3 Concerns with Finding Appropriate Data
- Box 7.4 What Is a Model?
- Box 7.5 Multiple Regression and Cross-Sectional Data
- Box 7.6 Control Variables
- Box 8.1 The Museum Questions from the Taking Part Survey 2009–2010
- Box 8.2 Variables: A Reminder
- Box 8.3 Causal Inference: A Reminder
- Box 8.4 Coefficients
- Box 8.5 Imagining Units of Happiness, Museums and Money
