On the trail of the gold standard for subjective well-being

The absence of a ‘gold standard’ for subjective well-being has severely hampered the interpretation of data from empirical studies. This paper demonstrates a remarkable consistency among the results of 16 studies that have investigated ‘life satisfaction’ among large samples drawn from the general population. It is concluded that a population standard for ‘life satisfaction’ can be expressed as 75.0±2.5 percent of the measurement scale maximum score.     

The domains of life satisfaction: An attempt to order chaos

While life satisfaction is commonly measured as an aggregate of individual life domains, the characterisation of such domains is uncertain. This study attempts to group 173 different domains names derived from the literature under seven headings as used by the Comprehensive Quality of Life Scale (ComQol). It was found that 68% could be classified in this way. Moreover, due to the repeated use of some domain names, the ComQol classification included 83% of the total reported data. The ComQol domain data did not differ from single-item global measures of life satisfaction and the within-study variance was lower using the ComQol rather than the original domains. A hierarchy of domain satisfaction was found which was dominated by the domain of intimacy. The other ComQol domains were quite tightly clustered within a range of 1.08 standard deviations. No difference was found between normative data and data gathered from people with a chronic medical condition, but people selected on psychiatric criteria had a lower life quality, most particularly in the domain of intimacy. It is concluded that life satisfaction, and therefore subjective well-being, can be economically and validly measured through the seven ComQol domains.     

Life satisfaction among the rural elderly: What do the numbers mean?

Studies of life satisfaction among the elderly are based almost entirely on quantitative data, yet we have little knowledge of whether such data are consistent and valid representations of satisfaction. The present paper addresses this issue through a comparison of quantitative and qualitative data on satisfaction with housing, family, spouse, self-esteem, health, friends and life as a whole. The data were obtained from 15 elderly men and women living in rural Ontario who had participated in both a survey study of life satisfaction and an intensive qualitative study of loneliness, social activities and social relationships. The values selected by participants from scales of satisfaction were found to be fairly similar overall to judgements made by the investigators on the basis of qualitative data from interviews and diaries. But there were also a number of discrepancies across both participants and domains, and these discrepancies were not systematic. The scale values appear to be at best a superficial representation of participants' satisfaction. It is concluded that quantitative approaches are of limited utility in studies of the quality of life, and that they are most appropriately viewed as supplementary to approaches employing qualitative data and analysis.     

Life Satisfaction of Middle-Aged and Older Chinese: The Role of Health and Health Insurance

The Chinese government has launched a series of health reforms to establish universal health insurance coverage, particularly for vulnerable groups, including middle-aged and older adults. However, the current public health insurance system is highly fragmented, consisting of different programs with different levels of premiums and benefits. We analyse whether the universal health insurance system increases the life satisfaction of middle-aged and older Chinese people and to what extent the type of health insurance affects the life satisfaction of this group. Our study is based on data from the China Health and Retirement Longitudinal Study, a nationally representative longitudinal survey of Chinese aged 45 and above, in 2011, 2013, and 2015. We find that the life satisfaction of middle-aged and older adults does not depend on having any health insurance coverage but varies with the type of health insurance coverage, controlling for potential confounding variables such as health status, occupation, hukou status, and other demographic variables. Individuals covered by the most generous program, the Government Medical Insurance, reported a higher life satisfaction. In comparison, individuals covered by the Urban Employee Medical Insurance, the Urban Resident Medical Insurance, and the New Rural Cooperative Scheme reported a lower life satisfaction by 0.155, 0.106, and 0.112 standard deviations, respectively. Our results suggest that establishing a more equitable health insurance system should be the next step in health reforms in China.

     

Racial diversity,immigrants and the well-being of residents: evidence from US counties

This paper presents empirical evidence that racial diversity and immigrant population at the local level tend to be associated with lower life satisfaction for Whites by matching individual data with the county-level population data during the period 2005–2010. The magnitudes I find suggest that a ten-percentage-point increase in the share of the non-White population (approximately one half of a standard deviation) is associated with 0.006 and 0.007 points reduction in life satisfaction on a four-point scale for White men and White women, respectively. For White men, this effect appears to be driven by the percentage of the population that is Black. I also find that a ten-percentage-point increase in the percentage of the immigrant population (approximately 2 standard deviations) is associated with 0.009 and 0.021 points reduction in life satisfaction for White men and White women, respectively. The percentage of the non-White population seems to reduce older Whites’ life satisfaction more than that of younger Whites. Though the scale of the findings relating to the impact of local racial compositions and immigrant population is relatively modest, the findings may pose a challenge in the coming years as the percentage of the population that is non-White rises in the USA.     

Quality of College Life (QCL) of Students in Turkey: Students’ Life Satisfaction and Identification

Understanding the complexities of a students’ quality of life has become essential in order for universities to plan their spending most efficiently. This study tests a model which was used to judge the satisfaction of college life and evaluates the overall impact of quality of college life (social, academic, and service satisfaction), life satisfaction, and identification. Secondly, the study assesses the impact of a university’s academic program, social life, facilities, and services on the students’ college life quality in this sample in relation to similar studies from Turkey and other countries. The survey included 1,260 students attending a public university in northwestern Turkey. Measurement tools included the quality of college life scale (QCL), Satisfaction with college life scale, identification scale satisfaction with life scale and personal information form. The results show social satisfaction has the strongest positive impact on QCL. This study found that life satisfaction and university identification had a positive impact on a university student’s satisfaction with college life. According to survey results it is also suggested that University administrators can primarily focus on improving the social satisfaction of the students then improve facilities and services, in order to raise academic satisfaction levels.     

The Danish Effect: Beginning to Explain High Well-Being in Denmark

Although income and happiness have been linked at both the individual and national levels of analysis, few studies have specifically examined the different relationships between these two variables in affluent nations. This study investigates various measures of well-being in both the United States and Denmark. Respondents in both countries reported high levels of well-being but Americans generally reported greater positive and negative affect while Danes reported higher levels of satisfaction and enjoyment. Interestingly, low income respondents in the United States reported higher negative affect and lower life satisfaction than their counterparts in Denmark. For positive affect, the major difference between the two countries was found among high income respondents. The key to understanding differences in the well-being of these two nations appears to lie in understanding the well-being of the poor. Suggestions for future directions in research are discussed.     

The Well-Being of 12 - to 16-Year-Old Adolescents and their Parents: Results from 1999 to 2003 Spanish Samples

This study adopts satisfaction with life as a whole and satisfaction with specific life domains as indicators to analyse the relationships between the well-being of 12 to 16-year-old adolescents and some related constructs such as self-esteem, perceived control and perceived social support. Well-being indicators from a 2003 Spanish sample using an 11-point scale (N = 1,634) are compared with an equivalent 1999 Spanish sample using a 5-point scale (N = 1,618). The different results obtained from the 2003 sample with a Principal Component Analysis (PCA) using a shorter and a longer list of life domains are also discussed. A sub-sample of the adolescents’ results from the 2003 sample are compared with their parents’ answers, using the same well-being indicators. Using a list of 8 life domains, and despite the change of scale used, overall results show no relevant changes in adolescents’ satisfaction with life domains between 1999 and 2003 in Spain and are in agreement with normative data expected from western societies [Cummins: 1998, Social Indicators Research 43, pp. 307–334; Cummins et al.: 2001, Australian Unity Well-being Index (Australian Centre on Quality of Life, Deakin University, Melbourne)]. Adolescents’ overall life satisfaction has been shown to correlate consistently with the other well-being related constructs. However, it clearly decreases with age over the period studied. The results also show that increasing the list of life domains has a major impact on the structure of the results obtained. When we compare results from parents with those from their own child, outstanding differences in well-being appear between generations: few domain satisfaction dimensions show significant correlation between parents and children and more than 20% of the population studied shows high discrepancies in the answers in four domains.     

The Complex Road to Happiness: The Influence of Human Development, a Healthy Environment and a Free Press

Happiness is considered one of the goals of individuals and nations. Thus, many interdisciplinary efforts have attempted to determine the factors that lead to happiness. However, most of these efforts have ignored some important but less tangible factors, such as having a free press and a healthy environment. In this study, we argue that press freedom—a measure of social capital—along with human and built capital, and natural capital, predicts levels of life satisfaction across nations. Using data from 161 countries, our study provides empirical support to our theoretical model that forms of capital do not influence life satisfaction separately but are actually situated in a web of interrelationships. This is consistent with the assumptions that the road to happiness is not direct. It is a complex path where different forms of capital influence one another before leading to a happy life.     

Self-Evaluation Processes in Life Satisfaction: Uncovering Measurement Non-Equivalence and Age-Related Differences

This study demonstrates how self-evaluation processes explain subgroup differences in ratings of life satisfaction (population heterogeneity). Life domains differ with regard to the constraints they impose on beliefs in internal control. We hypothesized that these differences are linked with cognitive biases in ratings of life satisfaction. In fact, two subgroups of respondents needed to be distinguished, for which life satisfaction scores were non-equivalent measures. Self-evaluation processes also helped to explain age-related differences in life satisfaction. Age was unrelated or positively related to life satisfaction in a subgroup of respondents who perceived comparatively high levels of control over high-constraining life domains such as work, income, and standard of living. However, age yielded a substantial negative relationship with life satisfaction among participants who reported reduced levels of control in these domains. Results from a German representative sample were replicated with data from an online survey.     

Good Job,Good Life? Working Conditions and Quality of Life in Europe

Cross-national comparisons generally show large differences in life satisfaction of individuals within and between European countries. This paper addresses the question of whether and how job quality and working conditions contribute to the quality of life of employed populations in nine strategically selected EU countries: Finland, Sweden, the UK, the Netherlands, Germany, Portugal, Spain, Hungary, and Bulgaria. Using data from the European Quality of Life Survey 2003, we examine relationships between working conditions and satisfaction with life, as well as whether spillover or segmentation mechanisms better explain the link between work domain and overall life satisfaction. Results show that the level of life satisfaction varies significantly across countries, with higher quality of life in more affluent societies. However, the impact of working conditions on life satisfaction is stronger in Southern and Eastern European countries. Our study suggests that the issue of security, such as security of employment and pay which provides economic security, is the key element that in a straightforward manner affects people’s quality of life. Other working conditions, such as autonomy at work, good career prospects and an interesting job seem to translate into high job satisfaction, which in turn increases life satisfaction indirectly. In general, bad-quality jobs tend to be more ‘effective’ in worsening workers’ perception of their life conditions than good jobs are in improving their quality of life. We discuss the differences in job-related determinants of life satisfaction between the countries and consider theoretical and practical implications of these findings.     

Cross-National Variation in Individual Life Satisfaction: Effects of National Wealth, Human Development, and Environmental Conditions

This study adds to the literature on subjective well-being and life satisfaction by exploring variation in individual life satisfaction across countries. Understanding whether and how individual life satisfaction varies across countries is important because if the goal of development is to increase well-being, we must identify the causes of well-being in different national and regional contexts. Using hierarchical linear modeling techniques, I test the hypothesis that individual well-being does vary across countries, and that national wealth, human development and environmental conditions explain this variation. I also test whether the effects of individual characteristics on life satisfaction (including age, marital status, education, income, employment status, and sex) vary across countries, and which country level characteristics explain these variations. Using individual level data from the World Values Survey, I find that there is significant variation in life satisfaction across countries. There is also significant variation in the slopes of individual predictors of life satisfaction across countries and regions. Regional differences in the effects of individual characteristics on life satisfaction explain most of the between country variation in life satisfaction. This indicates that universal development indicators may not adequately reflect differences in life satisfaction across countries, and that development measurements should better reflect regional differences.

The Quality of Life in China

The Asia Barometer Survey of 2,000 respondents reveals that substantial majorities of the Chinese people experience feelings of happiness, enjoyment, and accomplishment. In fact, the proportion experiencing these indicators of a high quality of life are larger in China than in some more prosperous countries. Favorable historical comparison, sustained high economic growth, satisfaction with interpersonal life, and a high percentage of married people are among the explanations for China’s prevalence of subjective well-being. The Chinese people’s high levels of satisfaction with their interpersonal, material, and nonmaterial life domains, their positive assessments of their relative living standards, and their high rate of marriage are three direct positive influences on subjective well-being. Value priorities and other demographic characteristics also have indirect bearings on subjective well-being in China.     

A life satisfaction scale for use with national adult samples from the USA,Canada and Mexico

This paper describes the steps we took to develop a measure of life satisfaction which appears useful for analyses of adult sample survey data from the United States, Canada, and Mexico. Our procedure is factor analysis, and our data are drawn from the 1981–82 and 1991–92 World Values Surveys conducted in the three countries. The result is a six-variable composite measure which meets the following conditions: the constituent items have face validity, the factor structure is similar across countries and also across sub-groups within countries, the factor structure is also similar in 1981–82 and 1991–92, and the factor score based on these structures is highly correlated with variables that are customarily good predictors of life satisfaction and happiness. On the basis of these results, we will be confident in using the life satisfaction measure for future multivariate analyses of the data base aimed at explaining variation in satisfaction. For the same reasons, we would recommend the life satisfaction measure for others' research with the rich World Values Surveys data base.     

National Income and Income Inequality,Family Affluence and Life Satisfaction Among 13 year Old Boys and Girls: A Multilevel Study in 35 Countries

Adolescence is a critical period where many patterns of health and health behaviour are formed. The objective of this study was to investigate cross-national variation in the relationship between family affluence and adolescent life satisfaction, and the impact of national income and income inequality on this relationship. Data from the 2006 Health Behaviour in School-aged Children: WHO collaborative Study (N = 58,352 across 35 countries) were analysed using multilevel linear and logistic regression analyses for outcome measures life satisfaction score and binary high/low life satisfaction. National income and income inequality were associated with aggregated life satisfaction score and prevalence of high life satisfaction. Within-country socioeconomic inequalities in life satisfaction existed even after adjustment for family structure. This relationship was curvilinear and varied cross-nationally. Socioeconomic inequalities were greatest in poor countries and in countries with unequal income distribution. GDP (PPP US$) and Gini did not explain between country variance in socioeconomic inequalities in life satisfaction. The existence of, and variation in, within-country socioeconomic inequalities in adolescent life satisfaction highlights the importance of identifying and addressing mediating factors during this life stage.     

The quality of life in Australia

This paper outlines a long term project on the quality of life in Australia and presents some initial survey data. The long term project is intended (1) to find which domains of life most affect the perceived well-being of Australians and the values/satisfactions people wish to achieve in these domains (2) to propose policy programs designed to enhance satisfaction with particular domains and (3) to assess the political feasibility of proposed programs. Policy programs intended to enhance satisfaction are termed positive welfare programs to distinguish them from conventional compensatory welfare programs. The survey data analysed here (national sample, N=679) deal with the satisfactions and dissatisfactions of Australians, the correlates of perceived well-being and the links between domains and values. Perceived well-being is measured by Andrews and Withey's Life-as-a-whole index and Bradburn's Affect Balance scale. Satisfactions are measured on a 9 point modified version of Andrews and Withey's delighted-terrible scale. Readers familiar with American, British and Canadian findings will find the results reported here broadly similar. However, the linkage between people's sociological characteristics and their satisfaction levels appears to be exceptionally weak in Australia, which tends to confirm the view that Australia is a comparatively unstratified society.     

Cross-cultural variations in predictors of life satisfaction: An historical view of differences among West European countries

Using survey data collected in 1976 from respondents in ten West European countries, we compared four sets of predictors of life satisfaction: job satisfaction, nonwork satisfaction, working conditions and living conditions. Results indicated that, although levels of satisfaction varied somewhat by country, significant predictors of life satisfaction were quite similar among the countries. These results present a picture of relationships among these variables in an historical context.     

Adaptation and Dissonance in Quality of Life: A Case Study in Mekelle,Ethiopia

This study aimed to determine predictability of life satisfaction by focusing on social support, substance abuse, socio-demographic factors as well as received health services from medical and traditional centers in the elderly with dementia. The subjects were 1,210 non-institutionalized Malaysian elderly with cognitive problems. In addition, age, ethnicity, sex differences, marital status, educational level, social support, substance abuse and receiving health services were evaluated to predict the risk of falls in samples. Social support was measured by Lubben score. Substance abuse was referred to smoking per day, addiction to alcohol consumption as well as dependency to medications. Health care supports, which were received by individuals included medical and traditional treatments. Life satisfaction was measured by asking in general ‘Are you satisfied with your current life’. The multiple logistic regression analysis was used to determine the effects of contributing variables on life satisfaction in respondents. Approximately 83 % of subjects reported that they were satisfied with their current life. The results of multiple regression analysis showed that marital status (OR = 1.98), traditional treatments (OR = 0.43), social support (OR = 2.28) and educational level (OR = 1.79) significantly affected life satisfaction in samples (p < 0.05). Furthermore, age, ethnicity, sex differences, substance abuse and medical treatments were not significant predictors of life satisfaction (p > 0.05). It was concluded that social support, being married and education increased life satisfaction in subjects but traditional treatments decreased life satisfaction.     

The Impact of Exposure to Other Countries on Life Satisfaction: An International Application of the Relative Income Hypothesis

The cause of international differences in life satisfaction is usually ascribed to differences in living standards. Yet, despite improving living standards in a lot of middle-income countries, significant differences in life satisfaction between middle- and high-income countries remain. This paper examines if there is an international comparison effect and assesses to what extent the relative income hypothesis can be applied to explain international differences in life satisfaction. We test this by analyzing how exposure to other countries impacts life satisfaction. It is hypothesized that higher exposure to other countries in low- and middle-income countries has a negative effect due to increased aspirations and relative deprivation, while the opposite holds true for rich countries. We draw on data from the World Value Survey, the World Bank and the KOF Globalization index to perform a multilevel analysis. The results suggest that an international comparison effect indeed exists and is capable of partially explaining international differences in life satisfaction. Additional analyses reveal that people in lower income classes, in all countries, are affected more by exposure to other countries, indicating that individual characteristics are important when assessing the impact of exposure on life satisfaction. We demonstrate the robustness of these findings by showing that both sub-indicators of exposure, informational flow and international contact, have an impact on life satisfaction that is similar to that of our overall exposure-index.