Analysing and modelling wellbeing: psychological, bodily, social, and environmental dimensions
description
Transcript of Analysing and modelling wellbeing: psychological, bodily, social, and environmental dimensions
Analysing and modelling wellbeing: psychological, bodily, social, and
environmental dimensions
Neil Thin
School of Social and Political Science
University of Edinburgh
Main messages • Wellbeing is ineffable: statistical reports don’t make the
uncertainties disappear.
• With or without stats, the ‘wellbeing’ rubric helpfully tilts policy conversations towards positivity and ultimate values
• The ‘happiness lens’ adds: empathy; holism; and narrativity - but only if we transcend numerical reductionism.
• It also helps to consider implicit and explicit models, visualizations, and analytical frameworks.
First, three famous Scots to bear in mind…
Francis Hutcheson1694-1746
What matters is ‘the greatest happiness for the greatest
numbers’
John Sinclair(1754-1835)
Coined the term ‘statistics’;
governments should assess the ‘quantum of
happiness’
Samuel Smiles
(1812-1904)Sparked the mass-market
‘self-help’ movement
Wellbeing policy as a drive towards positivity
Where does wellbeing occur? Where are the causes?Where can/should policies make a difference?
Commissioned by UK DFID and World Bank for UN conference on Sustainable Development, Johannesburg 2002
Fights back against pathologism and residualism in social monitoring
Positive social qualities: justice, solidarity, participation, security
Policy Press, BristolPart One: Introductory overview and critique of happiness in policy discourse and research
Part Two explores actual and potential applications of “happiness” in various policy domains: intimacy; parenting; schooling; gender reform; old age; workplace; business.
A dynamic and interpretive AIEOU model of happiness
AnticipationAnticipation
UnpleasantnessUnpleasantness
InterpretationInterpretation
ExperienceExperience OutcomesOutcomes
Key features of the “happiness lens”
Wellbeing assessment takes us ‘beyond GDP’ and ‘beyond profit’.
Good, but what if pathological numerophilia is the problem?
Why is measurement neurosis dangerous?
• ‘Statistics’ has been reduced to numerical data; this is bad science
• What matters is what matters (forget ‘what can’t be counted doesn’t count’).
• Happiness and social progress are elusive and uncertain: we need mixed learning methods, because numerical proxies are distortive.
Another warning about stats:
• Subjective ‘data’ aren’t just ‘given’ facts: they might be better termed ‘elicitata’
• To interpret any human-response survey, we need to know about the context and process of elicitation
• E.g. how did Oxfam Scotland end up weighting ‘feeling good’ self-reports as the least important evidence of wellbeing? (weighted less than one-fifth of the importance of housing satisfaction! One-third of the importance of money?)
Positive Social Planning• Beyond GDP, beyond measurement (avoid economism
and statistical reductionism, promote robust qualitative assessment)
• Be assertively positive about social goods
• Develop analytical tools, concepts, and approaches for envisioning and planning really good societies
Four SQ domains (Thin, 2002)
• social justice (equal opportunity, fair and transparent rewards, procedural justice, rights and duties)
• solidarity (cohesion, empathy, co-operation, and associational life)
• participation (opportunities for meaningful engagement)
• security (job security, physical safety, trust in colleagues and management)
models and visual metaphors of personal and social value
A 20 x 20 Pecha Kucha show
‘Three pillars’ model of sustainable development
Wellbeing Wales: a ‘wellbeing’ variant of the 3 pillars SD model
Example of a confusing attempt to use the three pillars
Sustainable Livelihoods Framework
Gough and McGregor wellbeing framework, 2007:337
Sarah White et al, 2011: a model for wellbeing analysis
Bhutan’s Gross National Happiness assessment
ENIQ Social Quality model
Social Model of Health – Dahlgren & Whitehead (1991)
Urie Bronfenbrenner’s systems model of development
Bronfenbrenner, Urie (1979) The Ecology of Human Development: Experiments by Nature and Design. Cambridge, MA: Harvard University Press
Urie Bronfenbrenner. (1979). The Ecology of Human Development. Cambridge, MA: Harvard University Press.
Maslow’s ‘hierarchy of needs’ diagram
Body-mind-spirit-heart (another common source of confusion)
Domains of Wellbeing (Williams and Robinson, 2006:100
NEF (2011) Model of well-being
Sonja Lyubomirsky’s happiness pie
Table: the happiness lens in various policy domains National
governance Business Health Education
Ultimate positive values
from GDP to wellbeing; from expenditures and activities to outcomes from social harms to social goods
beyond profit to workplace social quality, and worker and customer wellbeing from harm avoidance to social value
From illness and medication to positive health promotion
From academic performance to pupil wellbeing and positive life outcomes
Subjectivity (empathic respect for feelings and evaluations)
Citizen happiness Worker and customer happiness
Subjective health Pupil and teacher happiness
Holism (inter-domain interactions)
Looking for positive synergies between domains and key actors
Work-life harmonizing Healthy for what? Interactions between health, activities, education, environment
Education for what?
Life narratives Using life course data and narratives to learn about cross-temporal wellbeing
Linking present worker/customer wellbeing with past and future
Lifecourse approaches to health promotion
Lifelong learning, transferable skills
Suggested matrix for analysing social goods
Justice Solidarity Participation Security
Mental (Intra-personal)
Inter-personal
(relationship quality)
Organiz-ational (communal quality)
Societal/ Global (social quality)