The Relationship Between Social Support and Subjective Well-Being Across Age

The relationships among types of social support and different facets of subjective well-being (i.e., life satisfaction, positive affect, and negative affect) were examined in a sample of 1,111 individuals between the ages of 18 and 95. Using structural equation modeling we found that life satisfaction was predicted by enacted and perceived support, positive affect was predicted by family embeddedness and provided support, and negative affect was predicted by perceived support. When personality variables were included in a subsequent model, the influence of the social support variables were generally reduced. Invariance analyses conducted across age groups indicated that there were no substantial differences in predictors of the different types of subjective well-being across age.     

The Construct Validity of Ryff's Scales of Psychological Well-Being (SPWB) and their Relationship to Measures of Subjective Well-Being

The factor structure of Ryff's Scales ofPsychological Well-Being (SPWB) and theirrelationship to standardized measures ofsubjective well-being (SWB) were investigated.Two hundred seventy-seven participants rangingin age from 18 to 48 years were administeredthe Memorial University of Newfoundland Scaleof Happiness (MUNSH), the Satisfaction WithLife Scale (SWLS), and the SPWB. Results failedto support either the hypothesis thatperforming factor analytic procedures on theitems of the SPWB should produce a six-factorsolution, with scale-specific items loadingmost highly on their respective factors or thehypothesis that subjecting the sub-scales ofthe SPWB to factor analytic procedures alongwith standardized measures of SWB would produceone higher-order well-being factor. Instead,item loadings clustered around three majorfactors that could not be identified with thesix scales proposed by Ryff. Moreover, thefactor analysis of SPWB and SWB scale totalsproduced three, instead of one, higher-orderfactors. Implications of findings are discussedwith respect to the relationship of the PWBconstruct to the SWB construct.     

Welfare Policy and Subjective Well-Being Across Nations: An Individual-Level Assessment

In the vast and diverse literature on determinants of life-satisfaction and happiness, there is a relative dearth of empirical research on the role of specifically political factors. We identify one such possible factor, the industrial welfare state, and assess its impact on how individuals perceive their well-being. The voluminous literature on the welfare state highlights its position as one of the most profound chapters in the latter-day human experience, but focuses on its indirect effects on well-being through economic and social conditions. We contend that the welfare state exerts a more direct effect to the extent that individuals experience very real impacts on their quality of life. Considering individual responses in 18 industrial democracies from 1981 to 2000, we find that welfare state generosity exerts a positive and significant impact on life-satisfaction and happiness. We discuss implications for further research generated by these findings.

Bringing Affect Back in: Measuring and Comparing Subjective Well-Being Across Countries

In recent years, researchers and policymakers have paid increasing attention to cross-country comparisons of subjective well-being. Whereas classical theories of quality of life emphasize the central role of affective well-being (i.e., whether a person feels good or bad), previous comparative studies have focused almost exclusively on life satisfaction (i.e., cognitive evaluations of life). This study brings affect into the comparative study of subjective well-being, constructing a new measurement instrument that captures both the affective and cognitive dimensions of subjective well-being. Using European Social Survey data and multi-group confirmatory factor analysis, we estimate latent country means for the two dimensions and compare country rankings across the two measures. The results reveal important differences in country rankings depending on whether one focuses on affective well-being or life satisfaction. We identify crucial differences among top-ranking countries and, perhaps even more importantly, considerable differences in rankings among more moderately ranking countries. In a second step, we compare and evaluate the single-item measures commonly used in previous research with the results based on our new measures. We conclude by discussing our results in relation to previous studies, and in terms of their possible implications for future research and for policymakers bent on improving national levels of subjective well-being.     

Conversion of Verbal Response Scales: Robustness Across Demographic Categories

Happiness and life satisfaction have traditionally been measured using verbal response scales, however, these verbal scales have not kept up with the present trend to use numerical response scales. A switch from a verbal scale to a numerical scale, however, causes a severe problem for trend analyses, due to the incomparability of the old and new measurements. The Reference Distribution Method is a method that has been developed recently to deal with this comparison problem. In this method use is made of a reference distribution based on responses to a numerical scale which is used to decide at which point verbally labelled response options transit from one state to another, for example from ‘happy’ to ‘very happy’. Next, for each wave of the time series in which the verbal scale is used, a population mean is estimated for the beta distribution that fits best to these transition points and the responses in this wave. These estimates are on a level that is comparable to that of the mean of the reference distribution and are appropriate for use in an extended time series based on the responses measured using a verbal and a numerical scale. In this paper we address the question of whether the transition points derived for the general population can be used for demographic categories to produce reliable, extended time series to monitor differences in trends among these categories. We conclude that this is possible and that it is not necessary to derive transition points for each demographic category separately.     

Life Satisfaction Judgments and Item-Order Effects Across Cultures

We conducted two studies to investigate the item-order effect on life satisfaction judgments. In Study 1, Japanese and American participants completed various life-domain satisfaction items either before or after completing general life satisfaction items. American respondents weighed the best life domains more strongly than Japanese respondents, in particular when they answered domain satisfaction items before making life satisfaction judgments. Overall, Japanese tended to weigh the worst life domains more heavily when making life satisfaction judgments than Americans. We hypothesized that the Japanese patterns of life satisfaction judgments come from the chronic attention to others’ perspective. To examine this hypothesis in Study 2, Japanese participants were exposed to either the “other are not watching” or the “other are watching” manipulation. As expected, when Japanese participants were led to believe that “others are not watching,” they judged their overall life satisfaction based more heavily on the best life domains (like Americans in Study 1).     

Subjective Well-Being and Social Production Functions

Recent reviews of scientific work on subjective well-being (SWB) reveal disagreements in conceptualization, measurement, and explanation of the concept. We propose Social Production Function theory as a framework to resolve them. Social Production Function (SPF) theory integrates strengths of relevant psychological theories and economic consumer/household production theories, without their limitations (namely, tradeoffs between satisfaction of different needs are not in the first, and goals or needs are not in the second). SPF theory identifies two ultimate goals that all humans seek to optimize (physical well-being and social well-being) and five instrumental goals by which they are achieved (stimulation, comfort, status, behavioural confirmation, affection). The core notion of SPF theory is that people choose and substitute instrumental goals so as to optimize the production of their well-being, subject to constraints in available means of production. SPF theory guides research measurement and explanatory models, and it integrates features of contemporary subjective well-being theories.     

The Socioemotional Well-Being Index (SEWBI): Theoretical Framework and Empirical Operationalisation

This article presents the design, process of construction, content and validation of the Socioemotional Well-Being Index. This index is a composite indicator of subjective well-being, and has been designed with the aim of providing a measurement device for the sociological analysis of the subjective components of quality of life and social quality. Two spheres of knowledge have been combined in its construction: research in social indicators, the recent development of which has been oriented toward the elaboration of composite indicators, and the theoretical content developed in recent decades by the sociology of emotions. As a composite indicator, the index presented in this article offers a hierarchical and multidimensional alternative to the univariate scales measuring happiness and satisfaction most often used in social research. In addition, in comparison to measures of subjective well-being grounded in cognitive evaluations, this index is based on the evaluation of a series of emotional states recently experienced by individuals. The conceptual definition of socioemotional well-being is based on Thomas Kemper’s social interactional theory of emotions and Randall Collins’ theory of interaction ritual chains. A “4 factor, 10 variable” solution has been obtained by applying common factor analysis to the data of the European Social Survey, 2006.     

How to Enhance Social Participation and Well-Being in (Formerly) Homeless Clients: A Structural Equation Modelling Approach

Social Indicators Research - In the present study we examined care-related and demographic predictors of well-being among 225 (formerly) homeless clients of a Dutch organisation providing shelter...     

Flourishing Across Europe: Application of a New Conceptual Framework for Defining Well-Being

Governments around the world are recognising the importance of measuring subjective well-being as an indicator of progress. But how should well-being be measured? A conceptual framework is offered which equates high well-being with positive mental health. Well-being is seen as lying at the opposite end of a spectrum to the common mental disorders (depression, anxiety). By examining internationally agreed criteria for depression and anxiety (DSM and ICD classifications), and defining the opposite of each symptom, we identify ten features of positive well-being. These combine feeling and functioning, i.e. hedonic and eudaimonic aspects of well-being: competence, emotional stability, engagement, meaning, optimism, positive emotion, positive relationships, resilience, self esteem, and vitality. An operational definition of flourishing is developed, based on psychometric analysis of indicators of these ten features, using data from a representative sample of 43,000 Europeans. Application of this definition to respondents from the 23 countries which participated in the European Social Survey (Round 3) reveals a four-fold difference in flourishing rate, from 41% in Denmark to less than 10% in Slovakia, Russia and Portugal. There are also striking differences in country profiles across the 10 features. These profiles offer fresh insight into cultural differences in well-being, and indicate which features may provide the most promising targets for policies to improve well-being. Comparison with a life satisfaction measure shows that valuable information would be lost if well-being was measured by life satisfaction. Taken together, our findings reinforce the need to measure subjective well-being as a multi-dimensional construct in future surveys.     

Deprivation,Social Exclusion and Subjective Well-Being

This paper aims at investigating empirically the relationship between self-declared satisfaction with life and an individual’s well-being as measured by the indices of deprivation and social exclusion proposed in the income distribution literature. Results on European countries show that life satisfaction decreases with an increase in deprivation and exclusion after controlling for individual’s income, relative income and other influential factors in a multivariate setting.     

Multiple-Scale Integrated Assessments of Societal Metabolism: Integrating Biophysical and Economic Representations Across Scales

The crucial challenge for integrated analyses of socioeconomic systems is keeping coherence in their multidimensional representation. Our approach describes the hierarchical structure of socioeconomic systems using the profile of allocation of human activity over a set of compartments defined at different hierarchical levels (e.g., whole countries, economic sectors, individual households). Compartments are characterized in terms of intensive variables (intensity of both exosomatic energy flows and added value flows per unit of human activity) and the extensive variable Total Human Activity population. In this way, relations of congruence across hierarchical levels can be used to link non-equivalent analyses. That is, changes in demographic variables, economic variables, technical coefficients, indices of environmental loading, institutional settings, and social aspirations are no longer independent of each-other even if described within different scientific disciplines.     

The Impact of the Earned Income Tax Credit on Economic Well-Being: A Comparison Across Household Types

Using survey data from Earned Income Tax Credit (EITC) recipients in Madison County, New York, we evaluate the effectiveness of the EITC in improving the economic well-being of low-income households. In particular, we examine the impact of the EITC across household types. For tax years 2002 through 2004, we find that the EITC is responsible for significantly lowering the poverty rate of EITC recipients, from 57 to 49%. In fact, for households below the poverty line, the EITC fills 31% of the gap between their adjusted gross income and the poverty line. The EITC has the largest impact on single parent households, lowering their poverty rate by 11.2 percentage points and reducing their poverty gap by almost 35%. However, the EITC has negligible effects on the poorest households in the sample—childless singles. A majority (64%) of EITC recipients intends to use at least some of the refund on basic needs and almost half plan on using part of their refund for debt repayment. This suggests that the EITC helps the majority of recipients get by but does not increase their economic mobility. Somewhat surprisingly, single parent households in the sample are not that different from married parent households in terms of EITC amounts, poverty rates, use of credit, and participation in government programs, despite earning less.     

A Measure of Well-Being Across the Italian Urban Areas: An Integrated DEA-Entropy Approach

In recent years, there has been an increasing proliferation of initiatives focusing on the concept of quality of life and well-being. At the centre of these studies there is the recognizing that the GDP offers only a partial perspective of factors affecting people’s lives. Following this line of the research, this paper is aimed at computing the well-being efficiencies of a sample of Italian Province capital cities, using a methodological approach that combines data envelopment analysis (DEA) with Shannon’s entropy formula. To avoid subjectivity in choosing a representative set of variables that proxy the phenomenon under study, we rely on the theoretical framework adopted by the Italian National Institute of Statistics (ISTAT) within the equitable and sustainable well-being (BES) project. The dashboard of indicators included in the analysis are related to the Ur-BES initiative, promoted by ISTAT to implement the BES framework at cities level. In a first step of the analysis, an immediate focus on separate dimensions of urban well-being is obtained by summarizing the plurality of available indicators through the building of composite indices. Next, the adopted integrated DEA–Shannon entropy approach has permitted to increase the discriminatory power of DEA procedure and attain a more reliable profiling of Italian Province capital cities well-being efficiencies. The results show a marked duality between the Northern and Southern cities, highlighting important differences in many aspects of human and ecosystem well-being.     

Well-Being and Social Capital: Does Suicide Pose a Puzzle?

This paper has a double purpose: to see how well Durkheim’s [1897, Le Suicide (Paris: 1^e edition)] findings apply a century later, and to see if the beneficial effects of social capital on suicide prevention are parallel to those already found for subjective well-being (Helliwell 2003, Economic Modelling 20(2), pp. 331–360). The results show that more social capital and higher levels of trust are associated with lower national suicide rates, just as they are associated with higher levels of subjective well-being. Furthermore, there is a strong negative correlation between national average suicide rates and measures of life satisfaction. Thus social capital does appear to improve well-being, whether measured by higher average values of life satisfaction or by lower average suicide rates. There is a slight asymmetry, since the very high Scandinavian measures of subjective well-being are not matched by equally low suicide rates. To take the Swedish case as an example, this asymmetry is explained by Sweden having particularly high values of variables that have more weight in explaining life satisfaction than suicide (especially quality of government), and less beneficial values of variables that have more influence in explaining suicide rates (Swedes have low belief in God and high divorce rates), because with the latest data and models the Swedish data fit the well-being and suicide equations with only tiny errors. If the international suicide data pose a puzzle, it is more because suicide rates, and their estimated equations, differ greatly by gender, while life satisfaction and its explanations are similar for men and women.     

Structural Equation Modeling (SEM) for Satisfaction and Dissatisfaction Ratings; Multiple Group Invariance Analysis Across Scales with Different Response Format

The current study evaluates three hypothesized models on subjective well-being, comprising life domain ratings (LDR), overall satisfaction with life (OSWL), and overall dissatisfaction with life (ODWL), using structural equation modeling (SEM). A sample of 1,310 volunteering students, randomly assigned to six conditions, rated their overall life (dis)satisfaction and their (dis)satisfaction with six different life domains. Each condition used one of six response formats, differing in (1) orientation (horizontal vs. vertical), and (2) anchoring (0 to 10, −5 to +5, and Not numbered). The results of a confirmatory factor analysis (CFA) support a six-factor model of LDR based on satisfaction or dissatisfaction items. However, our findings indicate that the kind of response format used to obtain satisfaction and dissatisfaction ratings can affect the factor loadings. Our results indicate that the proposed models of OSWL, and ODWL fit the data well, and are able to predict OSWL and ODWL, respectively. Moreover, among six life domains, which figure as the latent variables in our models, psychological well-being was found to be the strongest predictor of both OSWL and ODWL.

Social Support and Psychological Well-Being Under Social Change in Urban and Rural China

The economic reforms of the past two decades have initiated a major social transition in China, characterized by unprecedented social mobility and stratification. Meanwhile, the privatization of health care has increased costs to the consumer. While such changes would logically affect individuals’ psychological well-being, little attention has been paid to this association. Using data from the Chinese General Social Survey (2005), this paper looks at the relationships between social changes and the psychological well-being of individuals in both urban and rural areas, as well as the role of social support in Chinese society. We find that an increasing health-care burden is significantly associated with individuals’ psychological well-being, especially in rural China. Perceived social status, its change over time and its comparison with perceived status of peers, are also significantly correlated with psychological well-being both in rural and urban China. Social support has a protective function for psychological well-being across different samples, and also compensates for the negative association between increasing health-care burden and psychological well-being, but it strengthens relative deprivation during social change on psychological well-being in rural areas.     

Subjective Well-Being and Social Capital in Belgian Communities. The Impact of Community Characteristics on Subjective Well-Being Indicators in Belgium

In this article, we investigate the effect of individual and community level characteristics on subjective well-being in Belgium. Various indicators for subjective well-being are being used in a multilevel analysis of the 2009 SCIF survey (n = 2,080) and the 2006 Belgian ESS sample (n = 1,798). On the individual level, most hypotheses on the determinants of subjective well-being were confirmed. Living with a partner and age were shown to have strong effects, but also social capital indicators had a significant positive effect on subjective well-being. All these effects remained significant controlling for optimism. On the community level, especially unemployment rate had a negative impact on subjective well-being. The analysis further demonstrates that in homogeneous regions, community characteristics have a far weaker impact on subjective well-being indicators than in economically more heterogeneous regions.