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5-point GLS categories vs standard deviations

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Set-points for Subjective Wellbeing: real or imagined? Robert A. Cummins Australian Centre on Quality of Life Deakin University http://www.deakin.edu.au/research/acqol – PowerPoint PPT presentation

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Title: 5-point GLS categories vs standard deviations


1
Set-points for Subjective Wellbeing real or
imagined?
Robert A. Cummins Australian Centre on Quality of
Life Deakin University
http//www.deakin.edu.au/research/acqol
O
2
Wellbeing and Public Policy
  • What is subjective wellbeing (SWB)?
  • How might public policy change population SWB?
  • What is the relevance of SWB set-points?
  • Do SWB set-points really exist?
  • and if they do
  • is that the end of public policy usefulness?

3
  • Measuring SWB
  • How satisfied are you with your life as a whole?

4
Personal Wellbeing Index International Wellbeing
Group (2006) http//www.deakin.edu.au/research/acq
ol
5
How satisfied are you with your ----?
Jones and Thurstone ,1955 11-point, end-defined
scale
Completely Dissatisfied
Completely Satisfied
0 1 2 3 4 5 6 7 8 9 10


6
  • We code all data to lie on a range from

7
The Australian Unity Wellbeing Index Surveys
  • Geographically representative sample
  • N 2,000
  • Telephone interview
  • 1 April 2001
  • ------------
  • 26 Sept 2011

8
Personal Wellbeing Index2001 - 2011
9
Personal Wellbeing Index2001 - 2011
This represents a 3.0 percentage point variation
10
Normative range using survey mean scores as data
(N26)
11
Normative range using survey mean scores as data
(N26)
12
Why is subjective wellbeing normally held so
steady?
13
Why is subjective wellbeing normally held so
steady?
  • Homeostasis
  • Just like we hold body temperature steady
  • Subjective wellbeing homeostasis

14
Each person has a set-point for their subjective
wellbeing.
Individual set-points are distributed normally
in this area
The average set-point is 75
15
Distribution of SWB in Australia
16
Distribution of SWB in Australia
Most people live in a positive mood
17
SWB is constantly at risk
  • The result of subjective wellbeing loss is a high
  • risk of
  • Depression

18
Defensive resources
Subjective wellbeing
X
Challenges
Behavior eg. Move away
Internal resources eg. Finding meaning
External resources eg. relationships, money
19
So what is the relationship between the
circumstances of living and SWB?
20
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21
Theoretical model for subjective wellbeing
homeostasis
Dominant Source of SWB Control
22
Theoretical model for subjective wellbeing
homeostasis
23
Theoretical model for subjective wellbeing
homeostasis
24
Theoretical model for subjective wellbeing
homeostasis
25
Do you think a terrorist attack is likely in
Australia in the near future?
Evidence for SWB homeostasis 1
26
Evidence for SWB homeostasis 2
  • Why is SWB so stable as an average population
    value?

The explanatory logic rests on the existence of
set-points
27
Each person has a set-point for their subjective
wellbeing.
These set-points lie between 60 and 90
Area for individual set-points
28
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29
-Homeostasis dominates and keeps the SWB for each
person within a narrow range. -So, the sample
variance is dominated by the set-points, which
vary over 30 percentage points.
30
Evidence for SWB homeostasis 3
Why does the maximum score of groups never
reliably exceed about 82 points?
The explanatory logic rests on the existence of
set-points and set- point-ranges
31
Why is the maximum group score limited to 82
points?
32
Each set-point has a normal operating range of
about 20 points
Set-points
33
Assume that each persons SWB moves to the upper
margin of their set-point-range
34
Then, the whole sample will move from 75 points
to 85 points MAXIMUM
35
-Assume that the maximum (10 points) is not
achieved by everyone. -Assume that the average
person in the sample increases by 7 points
36
Then, 75 7 82 points
37
Questions
  • Are set-points real?
  • If so, what is the actual magnitude of each
    set-point-range?

38
Genetic evidence for set-points
Longitudinal studies on twins have led to
estimates that the stable component of SWB has a
heritability of some 40
  • De Neve, J-E (2011) Functional polymorphism
    (5-HTTLPR Q1 ) in the serotonin transporter gene
    is associated with subjective well-being
    evidence from a US nationally representative
    sample.
  • Journal of Human Genetics (2011)
    doi10.1038/jhg.2011.39

(N2574), people who have more efficient version
of the serotonin transporter gene, report
significantly higher levels of life satisfaction
(plt0.01).
39
Household, Income and Labour Dynamics surveys
Collaborators Mark Wooden (Director, HILDA
Survey project) Ning Li (Statistician, MU) Mark
Stokes (Statistician, Deakin)
40
Background
Over a 10 year period, 7,356 people completed the
survey every year. All things considered, how
satisfied are you with your life? (General Life
Satisfaction GLS). People responded on a 0-10
end-defined, bipolar scale All results are
standardized onto a 0 100 point scale.
41
Logic
  • Each person has provided 10 responses, so these
    can be used to calculate a mean and standard
    deviation for each person.

42
Logic
  • The variance for each person comprises
  • Their normal set-point-range variance we want
    this
  • Values outside their set-point-range either acute
    (burst of joy) or chronic (depression) we want
    to eliminate these

43
Method
  • A series of iterations whereby, for each
    individual person, values lying outside their
    normal range calculated from their 10 GLS
    scores are progressively eliminated.

44
Method
  • A series of iterations whereby, for each
    individual person, values lying outside their
    normal range calculated from their 10 GLS
    scores are progressively eliminated.

Steps 3 etc Repeat the above process for each
person until there are no further outliers
45
Final steps
(a) combine the data on individual means and SDs
from 7,356 respondents (b) form 5-point GLS
categories based on each individuals mean
score(c) calculate the average SD for the people
in each category
46
Raw data
47
Assume no evidence of set-points
48
What we hope to find after thelast iteration
49
Actual data after the 5th iteration
50
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51
Conclusion Set-point-ranges exist between 70 to
90 points Each set-point-range is about 18 points
52
These people are OK All are within their normal
set-point-range
53
These people are NOT OK They have experienced
homeostatic failure and need more resources to
regain access to their set-point-range
These people are OK
54
Summary
  • SWB Homeostasis Rules OK
  • 2. Set-points and set-point-ranges appear to have
    been confirmed
  • 3. The implications for Public Policy are
  • 3.1 Positive policy initiatives will have
    little impact on
  • people with normal levels of SWB
  • 3.3 Policy will have its greatest impact on
    population
  • levels of SWB when directed to people
    experiencing
  • homeostatic defeat
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