School of Psychology

 

Reference for this article:  White, A. (2007). A Global Projection of Subjective Well-being: A Challenge

To Positive Psychology?  Psychtalk 56, 17-20.

 

 

A Global Projection of Subjective Well-being:

A Challenge to Positive Psychology?

 

Adrian G. White, University of Leicester 

 

Rarely in recent years has a development in the field of academic psychology captured such widespread attention as the current developments in positive psychology on the topic of happiness.  Whilst academic investigation of something as intangible as happiness may seem at first surprising the age long search for happiness, a primary motive of human behaviour, has ensured a broader audience than psychologists usually attract.

 

The search for happiness is not new and neither is academic interest in the topic.  In 1776 the American Declaration of Independence argued for “certain inalienable Rights, that among these are Life, Liberty and the Pursuit of Happiness” (The American Declaration of Independence, 1776, as cited in Hawke, 1964).  As such, nations have been formed on the basis of the search for happiness, and this desire has been put on a par with the right to life and the right to freedom.  In the U.K. interest in happiness was brought to widespread attention with the moral philosophy of Jeremy Bentham (1789) who argued that the purpose of politics should be to bring the greatest happiness to the greatest number of people. 

 

Political interest in happiness has not diminished in modern times.  A recent survey (Easton, 2006) found that 81% of the UK population agreed that the Government’s primary objective should be the creation of happiness not wealth.  Earlier this year David Cameron, HM Leader of the Opposition, put happiness firmly on the political agenda by arguing that “It’s time we admitted that there’s more to life than money, and it’s time we focused not just on GDP, but on GWB – general well-being" (BBC, 2006). 

 

It seems likely that the current political and media interest in happiness has to a large extent been provoked by a surge of research interest in the topic in economics (see Oswald & Powdthavee, 2006) and positive psychology (see Diener, 2000).  Indeed psychologists have led the call for measures of subjective well-being (SWB) to form the basis of Government policy and the political assessment of a nation’s success (Diener, 2000).  The increasing importance of SWB in comparison to other measures has been reviewed by Diener & Suh (1997) who concluded that “subjective well-being measures are necessary to evaluate a society, and add substantially to the economic indicators that are now favoured by policy makers” (p.189).  As such psychologists are arguing that psychological theory and testing should form a basis of political governance.

 

It is worth taking a moment at this point to explore the psychological research into SWB.  In the literature a major distinction is drawn between brief emotional episodes, periods of joy or acute happiness, and an underlying state of happiness.  This underlying state is conceptualised as a sense of satisfaction with one’s life, both in general and in specific areas of one’s life such as relationships, health and work.  It is this underlying state of happiness, a measure of subjective well-being (SWB), that is the focus of most current research.  A good example of this is the Satisfaction With Life Scale (Pavot & Diener, 1993), a currently popular measure of SWB.

 

The measurement of something as intangible as SWB is not without difficulties.  Schwarz & Stack (1999) have shown, for example, that temporary mood states can influence a participant’s response to SWB measures.  However others have shown that temporary moods have only a marginal effect on SWB responses when compared to longer-term influences (Eid & Diener,1999).  It has also been shown the long-term changes to an individuals circumstances can affect levels of SWB (countering the suggestion that SWB is biologically determined). Brickman, Coates & Janoff-Bulman (1978) showed that lottery winners were significantly happier than controls, and controls were happier than people who had recently become paraplegics (although the effect was insufficient to reject the null hypothesis due to a small sample size).  As such it has been shown that temporary mood states have only a marginal effect on SWB, whilst long term changes and situational factors have a significant effect on SWB.

 

Whilst happiness is in itself intangible measures of SWB have been shown to be both valid and reliable (Pavot & Diener, 1993).  In addition, measure of SWB have shown to be closely associated with more tangible outcomes that would be expected to correlate with measures of SWB.  There is extensive evidence of correlations between SWB and general health (Diener, 2000).  Arrindell, Heesink & Feij (1999) also found that the use of medical services correlated negatively with SWB.  This finding was further supported by Eid & Diener (1999) who showed that SWB was a significant predictor of mental health levels.

 

Having shown that SWB is affected by long-term situational factors, and that SWB is closely associated with positive outcomes, researchers in positive psychology have focussed on how to increase levels of SWB (see Snyder, 2002, and Seligman, 2006).  Diener (2000) has shown the effect of financial well-being on SWB.  Additionally, Inglehart (1990) has shown meeting the basic needs of people, needs such as healthcare, education and housing, have strong effects on SWB.

 

 

In the map shown here international levels of SWB are presented in a global projection.  The data on SWB was extracted from a meta-analysis by Marks, Abdallah, Simms & Thompson (2006).  This is the first time a map of global happiness has been published.  It is immediately evident that there is an effect of poverty on levels of SWB.  The map itself mirrors other projection of poverty and GDP.  This data on SWB was compared with data on access to education (UNESCO, 2005), health (United Nations, 2005), and poverty (CIA, 2006).  It was found that SWB correlated most strongly with health (.7) closely followed by wealth (.6) and access to basic education (.6).  This adds to the evidence that from a global perspective the biggest causes of SWB are poverty and associated variables. 

 

Positive psychological research is almost exclusively focussed in the West (see Snyder, 2002).  It is notable from the map above that the areas where research into SWB is greatest are in the very countries where SWB is already highest.  It is also notable that positive psychology is currently undergoing something of a transformation.  What was initially a predominantly academic field (and in particular not a clinical one) is increasingly becoming a commercial activity.  Companies offering positive psychology services are proliferating.

 

Whilst the interest in SWB within positive psychology is to be welcomed it is interesting to note that the commercial development of the subject is in the very countries where SWB is highest.  This leaves positive psychology open to the accusation of selling self-help to the worried well.  The current lack of positive psychological studies in countries where levels of SWB are low does nothing to assuage this concern.  It is worth asking where are the positive psychological studies exploring the effects on SWB of providing healthcare and education to communities that have never before has access to such resources?  An approach that explored these questions really could be called positive psychology.

 

If you live in the UK and would like to take part in an online study of environmental issues and personality please follow this link: NEPS 2007

 

 

References

 

Arrindell, W.A. Heesink, J., Feij, J.A. (1999). The Satisfaction with Life Scale (SWLS): appraisal with 1700 healthy young adults in The Netherlands. Personality & Individual Differences, 26(5) 815-826.

 

Bentham, (1789).  An Introduction to the Principles and Morals of Legislation etc. London: T.Payne & Son.

 

Brickman, P. Coates, D., & Janoff-Bulman, R. (1978).  Lottery winners and accident victims: Is happiness relative? Journal of Personality & Social Psychology, 36, 917-927.

 

BBC (2006). Make People Happier Says Cameron. Downloaded from http://news.bbc.co.uk/1/hi/uk_politics on 21/07/06.

 

Central Intelligence Agency (2006). The World Factbook. Downloaded from https://www.cia.gov/cia/publications/factbook on 21/07/06.

 

Diener, E. (2000) Subjective Well-Being: The Science of Happiness and a Proposal for a National Index. American Psychologist, 55(1) 34-43.

 

Diener, E. & Suh, E. (1997). Measuring Quality of Life; Economic, Social, and Subjective Indicators. Social Indicators Research, 40(1-2), 189-216.

 

Easton, M. (2006). Britain’s happiness in decline.  Downloaded from www.news.bbc.co.uk/1/hi/programmes/happiness_formula on 21/07/06

 

Eid, M. & Diener, E. (1999).  Intraindividual variability in affect: Reliability, validity, and personal correlates. Journal of Personality & Social Psychology. 51, 1058-1068.

 

Hawke, D.F. (1964). A transaction of free men: The Birth and course of the declaration of independence. London: Scribner.

 

Inglehart, R. (1990). Cultural Shift in Advanced Industrial Societies. US: Princeton University Press.

 

Marks, N., Abdallah, S., Simms, A, Thompson, S. (2006). The Happy Planet Index. London: New Economics Foundation.

 

Oswald, A.J., & Powdthavee, N. (2006). Does happiness adapt? A longitudinal study of disability with implications for economists and judges. Discussion Papers No. 2208. Germany: Forschungsinstitut zur Zukunft der Arbeit (Institute for the Study of Labour)

 

Pavot, W. & Diener, E. (1993). Review of the Satisfaction with Life Scale. Psychological Assessment, 5(2), 164-172.

 

Schwarz, N., & Strack, F. (1999). Reports of subjective well-being: judgemental process and their methodological implications. In D. Kahneman, E. Diener, & N.Schwarz (Eds.), Well-being: The foundations of hedonic psychology (pp. 61-84). US: Russell Sage Foundation.

 

Seligman, M.E.P. (2006). Positive Psychology, Positive Prevention, and Positive Therapy. pp 3-12 in The Handbook of Positive Psychology eds. Snyder, C.R., Lopez, S.J.. Oxford: Oxford University Press Ltd.

 

Snyder C.R. (2002) The Handbook of Positive Psychology. Oxford: Oxford University Press Ltd.

 

UNESCO (2006). EFA Global Monitoring Report (2002).  Downloaded from www.unesco.org/education on 21/07/06.

 

United Nations (2005). UN Human Development Report. US, New York: Oxford University Press.

 

Appendix

 

Nation SWLS Score
 
DENMARK            273
SWITZERLAND        273
AUSTRIA            260
ICELAND            260
BAHAMAS            257
FINLAND            257
SWEDEN             257
BHUTAN             253
BRUNEI DARUSSALAM  253
CANADA             253
IRELAND            253
LUXEMBOURG         253
COSTA RICA         250
MALTA              250
NETHERLANDS        250
ANTIGUA AND BARBUDA 247
MALAYSIA           247
NEW ZEALAND        247
NORWAY             247
SEYCHELLES         247
ST KITTS AND NEVIS 247
UAE                247
USA                247
VANUATU            247
VENEZUELA           247
AUSTRALIA          243
BARBADOS           243
BELGIUM            243
DOMINICA           243
OMAN               243
SAUDI ARABIA       243
SURINAME           243
BAHRAIN            240
COLUMBIA            240
GERMANY            240
GUYANA             240
HONDURAS           240
KUWAIT             240
PANAMA             240
ST VINCENT AND THE 240
UNITED KINGDOM     237
DOMINICAN REPUBLIC 233
GUATEMALA          233
JAMAICA            233
QATAR              233
SPAIN              233
ST LUCIA           233
BELIZE             230
CYPRUS             230
ITALY              230
MEXICO             230
SAMOA WESTERN      230
SINGAPORE          230
SOLOMON ISLANDS    230
TRINIDAD AND TOBAGO 230
ARGENTINA          227
FIJI               223
ISRAEL             223
MONGOLIA           223
SAO TOME AND PERINI 223
EL SALVADOR        220
FRANCE             220
HONG KONG          220
INDONESIA          220
KYRGYZSTAN         220
MALDIVES           220
SLOVENIA           220
TAIWAN             220
TIMOR-LESTE        220
TONGA              220
CHILE              217
GRENADA            217
MAURITIUS          217
NAMIBIA            217
PARAGUAY           217
THAILAND           217
CZECH REPUBLIC     213
PHILIPPINES        213
TUNISIA            213
UZBEKISTAN         213
BRAZIL             210
CHINA              210
CUBA               210
GREECE             210
NICARAGUA          210
PAPUA NEW GUINEA   210
URUGUAY            210
GABON              207
GHANA              207
JAPAN              207
YEMEN              207
PORTUGAL           203
SRI LANKA          203
TAJIKISTAN         203
VIETNAM            203
IRAN               200
COMOROS            197
CROATIA            197
POLAND             197
CAPE VERDI         193
KAZAKHSTAN         193
MADAGASCAR         193
SOUTH KOREA        193
BANGLADESH         190
CONGO REPUBLIC     190
GAMBIA             190
HUNGARY            190
LIBYA              190
SOUTH AFRICA       190
CAMBODIA           187
ECUADOR            187
KENYA              187
LEBANON            187
MOROCCO            187
PERU               187
SENEGAL            187
BOLIVIA            183
HAITI              183
NEPAL              183
NIGERIA            183
TANZANIA           183
BENIN              180
BOTSWANA           180
GUINEA-BISSAU      180
INDIA              180
LAOS               180
MOZAMBIQUE         180
PALESTINE          180
SLOVAKIA           180
BURMA              177
MALI               177
MAURITANIA         177
TURKEY             177
ALGERIA            173
EQUATORIAL GUINEA  173
ROMANIA            173
BOSNIA & HERZE     170
CAMEROON           170
ESTONIA            170
GUINEA             170
JORDAN             170
SYRIA              170
SIERRA LEONE       167
AZERBAIJAN         163
CENTRAL AFRICAN RE 163
MACEDONIA          163
TOGO               163
ZAMBIA             163
ANGOLA             160
DJIBOUTI           160
EGYPT              160
BURKINA FASO       157
ETHIOPIA           157
LATVIA             157
LITHUANIA          157
UGANDA             157
ALBANIA            153
MALAWI             153
CHAD               150
IVORY COAST        150
NIGER              150
ERITREA            147
RWANDA             147
BULGARIA           143
LESOTHO            143
PAKISTAN           143
RUSSIA             143
SWAZILAND          140
GEORGIA            137
BELARUS            133
TURKMENISTAN       133
ARMENIA            123
SUDAN              120
UKRAINE            120
MOLDOVA            117
CONGO DEMOCRATIC   110
ZIMBABWE           110
BURUNDI            100

            The table above gives the SWLS score for each country presented in the map.  Data on SWLS is extracted from Marks, N., Abdallah, S., Simms, A, Thompson, S. (2006).  Scores have been presented from an index baseline of 100 for ease of comparison.  For more information on the Marks et al (2006) study, and the work of the NEF, follow this link: NEF Homepage

 

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