Choices Which Change Life Satisfaction: Similar Results for Australia, Britain and Germany

Using data from national socio-economic panel surveys in Australia, Britain and Germany, this paper analyzes the effects of individual preferences and choices on subjective well-being (SWB). It is shown that, in all three countries, preferences and choices relating to life goals/values, partner’s personality, hours of work, social participation and healthy lifestyle have substantial and similar effects on life satisfaction. The results have negative implications for a widely accepted theory of SWB, set-point theory. This theory holds that adult SWB is stable in the medium and long term, although temporary fluctuations occur due to life events. Set-point theory has come under increasing criticism in recent years, primarily due to unmistakable evidence in the German Socio-Economic Panel that, during the last 25 years, over a third of the population has recorded substantial and apparently permanent changes in life satisfaction (Fujita and Diener in J Pers Soc Psychol 88:158–64, 2005; Headey in Soc Indic Res 85:389–403, 2008a; Headey et al. in Proc Natl Acad Sci USA 107(42):17922–17926, 2010). It is becoming clear that the main challenge now for SWB researchers is to develop new explanations which can account for medium and long term change, and not merely stability in SWB. Set-point theory is limited precisely because it is purely a theory of stability. The paper is based on specially constructed panel survey files in which data are divided into multi-year periods in order to facilitate analysis of medium and long term change.     

A Theory of Life Satisfaction Dynamics: Stability,Change and Volatility in 25-Year Life Trajectories in Germany

An adequate theory of life satisfaction (LS) needs to take account of both factors that tend to stabilise LS and those that change it. The most widely accepted theory in the recent past—set-point theory—focussed solely on stability (Brickman and Campbell, in: Appley (ed) Adaptation level theory, Academic Press, New York, pp 287–302, 1971; Lykken and Tellegen in Psychol Sci 7:186–189, 1996). That theory is now regarded as inadequate by most researchers, given that national panel surveys in several Western countries show that substantial minorities of respondents have recorded large, long term changes in LS (Sheldon and Lucas in The stability of happiness, Elsevier, Amsterdam, 2014). In this paper we set out a preliminary revised theory, based mainly on analysis of the LS trajectories of the 2473 respondents in the German Socio-Economic Panel who reported their LS for 25 consecutive years in 1990–2014. The theory entails three sets of propositions in which we attempt to account for stability, change and also volatility. First, it is proposed that stability is primarily due to stable personality traits, and also to parental influence on LS. The second set of propositions indicates that medium and long term changes are due to differences and changes in personal values/life priorities and behavioural choices. Differences in the priority given to pro-social values, family values and materialistic values affect LS, as do behavioural choices relating to one’s partner, physical exercise, social participation and networks, church attendance, and the balance between work and leisure. Medium term change is reinforced by two-way causation—positive feedback loops—between values, behavioural choices and LS. The third set of propositions breaks new ground in seeking to explain inter-individual differences in the volatility/variability of LS over time; why some individuals display high volatility and others low, even though their mean level of LS may change little over 25 years.     

Ageing,Health and Life Satisfaction of the Oldest Old: An Analysis for Germany

This analysis uses data from the German Socio-Economic Panel and the Survey on Health, Ageing and Retirement in Europe to assess the effect of ageing and health on the life satisfaction of the oldest old (defined as 75 and older). We observe a U-shaped relationship between age and levels of life satisfaction for individuals aged between 16 and 65. Thereafter, life satisfaction declines rapidly and the lowest absolute levels of life satisfaction are recorded for the oldest old. This decline is primarily attributable to low levels of perceived health. Once cohort effects are also controlled for, life satisfaction remains relatively constant across the lifespan.     

Theory and Validity of Life Satisfaction Scales

National accounts of subjective well-being are being considered and adopted by nations. In order to be useful for policy deliberations, the measures of life satisfaction must be psychometrically sound. The reliability, validity, and sensitivity to change of life satisfaction measures are reviewed. The scales are stable under unchanging conditions, but are sensitive to changes in circumstances in people’s lives. Several types of data indicate that the scales validly reflect the quality of respondents’ lives: (1) Differences between nations in life satisfaction associated with differences in objective conditions, (2) Differences between groups who live in different circumstances, (3) Correlations with nonself-report measures of life satisfaction, (4) Genetic and physiological associations with life satisfaction, (5) Systematic patterns of change in the scales before, during, and after significant life events, and (6) Prediction by life satisfaction scores of future behaviors such as suicide. The life satisfaction scales can be influenced by factors such as question order, current mood, and mode of presentation, but in most cases these can be controlled. Our model of life satisfaction judgments points to the importance of attention, values, standards, and top-down effects. Although the scales are useful in research on individual well-being, there are policy questions that need more analysis and research, such as which types of subjective well-being measures are most relevant to which types of policies, how standards influence scores, and how best to associate the scores with current policy deliberations.     

Pets and Human Health in Germany and Australia: National Longitudinal Results

The German and Australian longitudinal surveys analysed here are the first national representative surveys to show that (1) people who continuously own a pet are the healthiest group and (2) people who cease to have a pet or never had one are less healthy. Most previous studies which have claimed that pets confer health benefits were cross-sectional. So they were open to the objection that owners may have been healthier in the first place, rather than becoming healthier due to owning a pet. In both countries the data show that pet owners make about 15% fewer annual doctor visits than non-owners. The relationship remains statistically significant after controlling for gender, age, marital status, income and other variables associated with health. The German data come from the German Socio-Economic Panel in which respondents have been interviewed every year since 1984 (N  = 9723). Australian data come from the Australian National Social Science Survey 2001 (N  = 1246).     

Reconciling workless measures at the individual and household level. Theory and evidence from the United States, Britain, Germany, Spain and Australia

Individual- and household-based jobless rates can offer conflicting signals about labour market performance. We outline a means of quantifying and decomposing the extent of any disparity (polarisation) between individual- and household-based measures and apply this to data from five countries over 25 years. Comparing actual household workless rates with counterfactuals based on a random distribution of employment, we find evidence of growing disparities between individual- and household-based non-employment measures in all five countries. The extent of this polarisation varies widely, but for each country, most of the discrepancies stem from within-household factors than from changing household composition.     

Life Satisfaction in Australia: Evidence from Ten Years of the HILDA Survey

Employing data from the Household, Income and Labour Dynamics in Australia survey, this paper examines the level, determinants and distribution of self-reported life satisfaction, as well as the prevalence and severity of dissatisfaction in Australia over the period 2001–2010. Against most objective measures Australia’s economic performance during this period was exemplary. Yet our results indicate a steady decline in life satisfaction from 2003 onwards, as well as a diminishing gap between the life satisfaction of males and females. Results also suggest that inequality in life satisfaction has generally declined. Geographic heterogeneity in the distribution of life satisfaction is apparent, and a number of socio-economic and demographic factors are found to serve an important role in determining an individual’s level of life satisfaction. Measures of the extent of dissatisfaction reveal an encouraging downward trend and provide policy makers with an alternative perspective from which to assess societal welfare.     

The Association Between School Stress,Life Satisfaction and Depressive Symptoms in Adolescents: Life Satisfaction as a Potential Mediator

The aim of the present study was to investigate the interrelationships between school-related stress (school performance, teacher interaction), life satisfaction, and depressive symptoms, as well as the potential mediating role of life satisfaction on the association between school-related stress and depressive symptoms. A total of 1,239 adolescents (13–18 years of age) from public elementary and secondary schools in mid-Norway participated in the school-based survey. The data were analysed using structural equations modelling. The present study showed that stress of school performance was significantly and positively related to depressive symptoms and significantly and inversely related to life satisfaction. At the bivariate levels, stress of teacher interaction was associated with more depressive symptoms and reduced life satisfaction. However, these associations were non-significant in the multivariate analyses, controlled for stress of school performance. A significant inverse association was found between life satisfaction and depressive symptoms. Further, life satisfaction partly mediated the association between stress of school performance and depressive symptoms. The results reflect the complexity of the interaction between adolescents’ experience of school performance stress and mental health, and the role of life satisfaction as a potentially relevant mediator of this association.     

Heterogeneity in Trajectories of Life Satisfaction After Reunification: The Role of Individual Resources and Life Stage in Former East Germany

Social Indicators Research - For people living in the former East Germany, reunification with the former West Germany fundamentally transformed the sociopolitical system and most domains of...     

Your House,Your Car,Your Education: The Socioeconomic Situation of the Neighborhood and its Impact on Life Satisfaction in Germany

This study deals with the impact of socioeconomic conditions and social integration into a local neighborhood on individual life satisfaction in Germany. While the majority of ecological studies to date are based on very broad neighborhood concepts, using large research units for defining neighborhood the present study contains micro-geographic information on a representative sample of private households in Germany, including features of their respective residential environments. The data was derived from the German Socio-Economic Panel (SOEP) study and enriched with data from the Micromarketing-Systeme and Consult GmbH (microm) for the years 2000–2006. Our analyses reveal neighborhood effects on various facets of life satisfaction. Controlling for several covariates at the household and individual level, life satisfaction increases when a person lives in a neighborhood with a higher socioeconomic status. In addition, the individual gap between a person’s economic status and the status of the neighborhood also affects individual well-being. However, when comparing with other neighborhood aspects, the strongest effects on individual life satisfaction have social networks.     

Estimating the Reliability of Single-Item Life Satisfaction Measures: Results from Four National Panel Studies

Life satisfaction is often assessed using single-item measures. However, estimating the reliability of these measures can be difficult because internal consistency coefficients cannot be calculated. Existing approaches use longitudinal data to isolate occasion-specific variance from variance that is either completely stable or variance that changes systematically over time. In these approaches, reliable occasion-specific variance is typically treated as measurement error, which would negatively bias reliability estimates. In the current studies, panel data and multivariate latent state-trait models are used to isolate reliable occasion-specific variance from random error and to estimate reliability for scores from single-item life satisfaction measures. Across four nationally representative panel studies with a combined sample size of over 68,000, reliability estimates increased by an average of 16% when the multivariate model was used instead of the more standard univariate longitudinal model.     

Healthy Days,Health Satisfaction and Satisfaction with the Overall Quality of Life

In this note we report results of 6 surveysusing the United States Centers for DiseaseControl and Prevention indicators of healthstatus, taken from the Behavioral Risk FactorSurveillance System. Generally speaking, wefound that the CDC healthy days variables couldplay a useful role in survey research aimed atassessing the impact of measured health statuson people's satisfaction with their own healthand with the overall quality of their lives.More precisely, using stepwise regressions wefound: (1) The three healthy days variablesexplained from 16 to 27 percent of the variancein General Health scores. The limited activitydays variable remained as a significantpredictor in only one of the six regressionsand the not good physical health days variablewas most influential in every sample. (2) Thethree healthy days variables explained from 19to 32 percent of the variance in healthsatisfaction scores, and the not good physicalhealth days variable was again most influentialin every sample. (3) The three healthy daysvariables explained from 12 to 39 percent ofthe variance in quality-of-life satisfactionscores, with the not good mental healthvariable most influential in every sample. (4)The four CDC variables together explained from40 to 55 percent of the variance in healthsatisfaction scores, with the General Healthvariable always dominating the set ofpredictors by a fairly wide margin. (5) Thefour CDC variables together explained from 17to 28 percent of the variance inquality-of-life satisfaction scores, with theGeneral Health variable most influential inthree samples and the not good mental healthvariable most influential in the other three.(6) When the four CDC variables plus the healthsatisfaction variable were used as potentialpredictors, we were able to explain from 29 to40 percent of the variance in quality-of-lifesatisfaction scores. In every sample, theGeneral Health and limited activity daysvariables had no significant impact. (7) Usingstructural equation modeling, we found GeneralHealth does not have a direct effect onsatisfaction with the overall quality of lifebut rather only an indirect effect throughhealth satisfaction. The General Health, notgood physical health, and not good mentalhealth days variables account for 51% of thevariation in health satisfaction, and healthsatisfaction, not good physical health and notgood mental health days variables account for30% of the variation in satisfaction with theoverall quality of life.     

Personality and Life Events as Predictors of Adolescents’ Life Satisfaction: Do Life Events Mediate the Link Between Personality and Life Satisfaction?

This study examined the association among personality traits, life events and life satisfaction, and the underlying pathways from personality traits to life satisfaction. A total of 1,961 adolescents were recruited from 21 secondary schools in Hong Kong. The adolescent version of the Chinese Personality Assessment Inventory (CPAI-A), the Chinese Adolescent Life Events Checklist (CALEC) and the Satisfaction With Life Scale (SWLS) were employed to assess their personality, life events and life satisfaction, respectively. Multiple regression analysis showed there was an additional value of the indigenously derived scales of CPAI-A, including the Family Orientation, Harmony and Ren-Qing scales, in predicting life satisfaction beyond the universal personality traits. Results also indicated that there was a partial mediation effect of negative life events on personality traits in the prediction of life satisfaction.     

Victimization and Life Satisfaction: Evidence from a High Crime Country

This study quantifies the relationship between crime and life satisfaction for Jamaica, a country that records the highest rates for violent crimes relative to the rest of the world and has one of the highest regional crime expenditure. We utilize individual-level survey data from 2006–2014 that capture victimization and other characteristics related to life satisfaction. Controlling for potential confounders reveals that crime is significantly and negatively related to life satisfaction. More importantly, we find that for this high-crime country, the cost to life satisfaction of being a crime victim amounts to roughly 65% of annual household expenditure. We also find heterogeneous effects for reported assault and robbery even though only the monetary losses incurred from assault are economically significant.

     

Association Between Caregiving, Meaning in Life, and Life Satisfaction Beyond 50 in an Asian Sample: Age as a Moderator

The association between caregiving, meaning in life, and life satisfaction was examined in sample of 519 older Asian adults beyond 50?years of age. Two hierarchical multiple regression analyses were conducted to examine age as moderator of the associations between caregiving, meaning in life, and life satisfaction. Age moderated the association between caregiving and life satisfaction; the association between caregiving and life satisfaction was statistically significant for the middle adulthood group but not for the late adulthood group. Age moderated the association between meaning in life and life satisfaction; the association between meaning in life and life satisfaction was statistically significant for both groups, but it was stronger in magnitude for the late adulthood group compared to the middle adulthood group. These findings highlight that there are certain key developmental tasks encountered by individuals at the middle and late adulthood stages, and that these distinctive relevant tasks at various developmental stages differentially predict individuals?? life satisfaction in an Asian sample.     

Acting for Happiness: Financial Behavior and Life Satisfaction of College Students

Recent research on well-being suggests that domain-specific behaviors contribute to domain-specific satisfactions, which in turn contribute to an individual’s overall satisfaction with life. Our study is an attempt to add to the literature by observing these phenomena from a financial perspective. Using data collected from a sample of undergraduate students at a major state university in the U.S. and employing structural equation modeling, we have found evidence suggesting that positive financial behaviors contribute to financial satisfaction and financial satisfaction in turn contributes to life satisfaction. In addition, positive financial behaviors contribute to life satisfaction through two more mediating variables: academic performance and academic satisfaction.     

The Divergent Meanings of Life Satisfaction: Item Response Modeling of the Satisfaction with Life Scale in Greenland and Norway

Cultural differences in response to the Satisfaction With Life Scale (SWLS) items is investigated. Data were fit to a mixed Rasch model in order to identify latent classes of participants in a combined sample of Norwegians (N = 461) and Greenlanders (N = 180). Initial analyses showed no mean difference in life satisfaction between the two subsamples. After transforming the ordinal raw scores into interval scales while simultaneously controlling for response bias, different results appeared. First, approximately 80% of the participants in the Greenlandic subsample fit a latent class with a large degree of random responding to the SWLS. Second, relative to the Norwegians, more Greenlanders were using extreme categories in responding to the SWLS. After statistically controlling for this tendency, Norwegians were in general more satisfied with their lives than Greenlanders. Third, Greenlanders who belonged to one specific latent class were more satisfied than their Norwegian counterparts. A salient feature of this class was the relative unwillingness of respondents to change the circumstances of their lives if they were given such an opportunity. The above results are a reminder of the care that must be used in analyzing survey data across cultures. The analytical strategy applied in the article offers an improved approach to handling such data.     

Testing a Moderated Model of Satisfaction with Urban Living using Data for Brisbane-South East Queensland,Australia

Using survey data collected from households living in the Brisbane-South East Queensland region, a rapidly growing metropolis in Australia, path analysis is used to test links between urban residents’ assessment of various urban attributes and their level of satisfaction in three urban domains-housing, neighbourhood or local area, and the wider metropolitan region – moderated by selected demographic characteristics of respondents. The analysis also shows the relative contribution of those urban domains to overall life satisfaction. Neighbourhood satisfaction is shown to be much less important in predicting overall life satisfaction than is satisfaction with housing and the region. However, neighbourhood satisfaction impacts indirectly on overall life satisfaction, mediated by regional satisfaction and housing satisfaction. In predicting regional satisfaction, the cost of living and government service provision are shown to be most important, with pollution important for younger people and parents, while improvements to transport systems are more important for the baby boomer generation. Neighbourhood satisfaction is best predicted by neighbourhood interaction and perceived crime, with neighbourhood interaction being more important for older people, while perceived crime is more important for younger and single people. Access to facilities is a poor predictor of neighbourhood satisfaction, except for parents. Satisfaction with housing is shown to be best predicted by housing age, temperature and home ownership. However, larger homes are important for parents, while young people prefer smaller homes. The importance of various urban attributes does not vary between genders. While material concerns like the cost of living and the provision of services are shown to be primary factors underlying overall satisfaction with urban living, the importance of environmental issues and demand for smaller homes might be expected to increase over time.