Subjective and objective indicators of regional quality of life in Switzerland

Mainly because of data limitations, direct comparisons between subjective and objective indicators of local or regional quality of life have been inconclusive until now. The 1978 opinion survey among more than 33 000 Swiss recruits representing about 80% of their age cohort allows one for the first time to disaggregate survey data regionally for all parts of a whole country. The portrait of 97 regions and 25 cantons of Switzerland, based on the recruits' assessments of their native commune, seem adequately to reflect the rich variety of quality of life experiences in this extremely decentralized and culturally heterogenous country. Evidence from several procedures for validating the opinion survey data is presented, among which comparisons between the subjective and selected objective indicators of regional quality of life prove to be most conclusive. In general, the intercorrelations between these two types of social indicators are astonishingly high. Some consequences of this result for the subjective vs. objective social indicator controversy are elaborated. Methodological considerations on the peculiar elusiveness of the quality of life category follow, indicating the outline of a workable methodology of usable social indicators knowledge.     

The validity of measures of self-reported well-being

Using a new analytic approach, construct validity estimates are developed for proposed social indicators of self-reported well-being. Two separate investigations are reported: the first involves data on six aspects of well-being each assessed by six methods from 222 adults in one geographic area; the second, a partial replication and extension, involves a more limited set of indicators measured on a sample of 1297 respondents representative of all American adults. The results provide evidence that perceptions of well-being can be measured by single questionnaire or interview items using any of four formats with validities in the range of 0.7 to 0.8 and with correlated method effects contributing less than 10% of the total variance. Two other formats, however, were markedly less valid. These findings are important in view of past criticisms of ‘subjective’ social indicators as lacking in validity, and the findings can guide current efforts to develop new ways to assess the quality of life. Methodologically, the article illustrates the feasibility and utility of deriving parameter estimates of structural equation models of multimethod-multitrait data using Joreskog's LISREL algorithm. The possibility of deriving validity estimates in this way, even when the data include correlated errors, opens new and important opportunities to precisely assess the amount of error variance in much social science data.     

How are the Kids Doing? How do We Know?

With a focus on the United States, this paper addresses the basic social indicators question: How are we doing? More specifically, with respect to children, how are our kids (including adolescents and youths) doing? These questions can be addressed by comparisons: (1) to past historical values, (2) to other contemporaneous units (e.g., comparisons among subpopulations, states, regions, countries), or (3) to goals or other externally established standards. The Child and Youth Well-Being Index (CWI), which we have developed over the past decade, uses all three of these points of comparison. The CWI is a composite index based on 28 social indicator time series of various aspects of the well-being of children and youth in American society that date back to 1975, which is used as a base year for measuring changes (improvements or deterioration) in subsequent years. The CWI is evidence-based not only in the sense that it uses time series of empirical data for its construction, but also because the 28 indicators are grouped into seven domains of well-being or areas of social life that have been found to define the conceptual space of the quality of life in numerous studies of subjective well-being. Findings from research using the CWI reported in the paper include: (1) trends in child and youth well-being in the United States over time, (2) international comparisons, and (3) best-practice analyses.     

The quality of life in large American cities: Objective and subjective social indicators

The concept of ‘quality of life’ as a tool of comparative social indicators research is analyzed. Inter-city comparisons of objective and subjective measures of well being are presented and the distinctiveness of these two dimensions of the quality of life is documented. The paper concludes with some observations on the implications that this distinctiveness has for the use of the concept ‘quality of life’ in future social indicators research.     

The Social Indicators Movement at 50: Onwards in Unity or Divided?

Before we can move forward with new topics in quality of life research, it would be useful to settle a number of issues that have been a source of debate over the last 50 years. Broadly speaking, this leads to seven principles for measuring and describing quality of life: the central focus is on people; quality of life is about more than just economics; a full measurement must incorporate both objective and subjective indicators; quality of life incorporates several dimensions; the outcome must be viewed separately from the determinants; there must be attention for distribution and difference; the domains can be combined into an index (though this is not essential). The main debate is perhaps about whether or not there should be an index. An index is necessary if we wish to give social indicators the same status as economic indicators have through GDP. In my view, that is desirable. Once these principles are established, the agenda for future social indicators research can be shaped using a model-based approach incorporating several recommendations from Land and Michalos.     

Social Support and Well-Being in Contemporary Greek Society: Examination of Multiple Indicators at Different Levels of Analysis

An extensive and coherent body of social and psychological research has identified social ties and supportive relationships as important predictors of well-being and quality of life. This paper examines the relationships between structural and functional indicators of supportive relations and well-being in Greece at different levels of analysis based on results from three studies: (a) the European Social Survey (Study 1); (b) a cross sectional community study in Greece (Study 2); and (c) a social interactions study in Greece and the UK using an event sampling methodology (Study 3). Structural indicators of social support and life satisfaction and happiness in the first study were moderately associated. This finding was partly supported by results from the second study which revealed connections between some structural aspects of social support and well-being (happiness, anxiety, irritability) but not others. Functional aspects of social support and psychological indicators of well-being (happiness, anxiety, mental health) at the individual (Study 2) and social interaction (Study 3) levels were not associated. Cross-cultural comparisons of structural indicators of social support in Studies 1 and 3 revealed low frequency of social interactions. Also functional aspects of social support in everyday social interactions in Greece showed significantly lower levels in comparison to the UK. These findings suggest that structural and functional aspects of social support in Greece may not have the same palliative role as usually observed in the international literature and are discussed with particular attention to the level of analysis, the method, and the aspect of well-being being assessed.     

Social indicators: A statistician's view

In the following we consider the problem areas of social indicator research which are of concern to the statistician and in which he can prove helpful. Among these are the purposes of social indicators, what social variables should be considered as conceivable variables related to quality of life, what data should be collected taking in account the difficulty of not being able to directly measure variables of interest, how does one collect the data (which is usually in the form of a time series) guarding against multicollinearity, and how should the collected data be handled and analyzed. We discuss why in social indicator research the secular trends, cyclical movements, seasonal variations and irregular fluctuations must be taken into account. Techniques are discussed for relating lead indicators in one time period to coincident indicators in another period. Finally we present a select bibliography in canonical correlation, forecasting, indicators and index numbers, path analysis, regression analysis, simulation techniques, time series analysis and other areas useful in analyzing social indicator data.     

Education Enrollment Level and Income Inequality: A Case of SAARC Economies

This article introduces ‘critical open-mindedness’ as a new sociological construct, which can be employed particularly in the studies of social attitudes and attitude change, social values, social identities, cross-cultural relations and social discrimination. By drawing on the data collected through the 2005 World Values Survey in Australia, we have operationalized the construct into an integrative social index, called ‘critical open-mindedness index’ consisting of five dimensional composite indicators (CIs; i.e. the social, political, cultural, economic, and environmental). We have adopted an integrative approach to constructing these composite indicators in which we pragmatically select and incorporate a variety of techniques with the purpose of maximizing the validity of the end results. The findings with respect to Australians’ critical open-mindedness, both in general and in reference to its five dimensions are discussed. We have also developed and examined a social psychological index of ‘socio-cognitive open-mindedness’ inspired by a number of commonly used international scales and by drawing on the same dataset. We have shown that these two types of open-mindedness are qualitatively different. Our analysis does not support the idea that individuals’ social psychological open-mindedness determines their critical open-mindedness. It is rather the opposite which is the case.     

Socio-economic Indexes in Surveys for Comparisons between Countries

The study of socio-economic inequalities from across-national perspective has been hampered by the lack of adequate common indices of socio-economic status that can be used in a self-report survey instrument. This paper examines the construction and the properties of global social indexes in general, and of the Family Affluence Scale (henceforth FAS) in particular. The paper proposes a new strategy for making comparisons of the global index with stratified data, building a revised FAS based on Adapted Canonical Variate Analysis (henceforth ACVA). This alternative strategy for constructing a global index is available in standard software, and the new proposal for stratified data only requires a simple program, which is justified, explained and provided in the text. Data come from the 1998 Health Behaviour in School-Aged Children (HBSC), a WHO Cross-National Study using cluster sampling of schoolchildren from five countries: Denmark, Latvia, Portugal, Scotland and the USA. The results reveal that in every country we would have had a completely different evaluation of the three indicators of Family Affluence if we had used either linear or nonlinear approaches to compute the global indexes. Moreover, Family Affluence comparisons among countries shows that the relative contribution of the three indicators to the overall FAS, changes from country to country. We conclude that separate indicators of Family Affluence are not equally relevant in each country and, as a consequence, do not contribute equally to the global index. For cross-cultural studies, the strategy for constructing an index should be country specific. The methodological developments presented in the paper open up opportunities to study socio-economic patterning of health among young people in the developed world, since self completed surveys can now employ a common measure of family material wealth. The findings show that the RFAS (Revised FAS) is a useful index of socio-economic status for use in national and cross-national surveys of adolescent health and health behaviour. The new strategy for weighting observed indicators in the index gives it enhanced power to detect in equalities.     

The allocation of time to social and leisure activities as social indicators for the integration of aged ethnic minorities

One way in which a better understanding of social indicators to be employed in assessing the degree of social integration of aged ethnic minorities is to determine their time-use patterns for various daily activities. This paper reports on a research project undertaken in a planned community of La Villeneuve, France, which examines (a) the social context in which various activities took place, and (b) the duration and frequency of the activities. This was achieved through the combined techniques of time-budget analysis, social network mapping, and participant observations. Our data provides another dimension appropriate for social indicators research.     

A Method of Assembling Cross-sectional Indicators into a Community Quality of Life

This study develops a new method of measuring quality of life at the local and state level. Further, it presents a methodology that combines heterogeneous indicators from different fields, such as economics, social, and health, into one total measurement. The technique shown can be used to compare one region with another, or compare one metro area with its own performance through time. The analysis shows which categories and indicators are ranked as the highest and serves as a measurement of economic development and potential targets for marketing plans. Every analyst interested in an aggregate, community measurement tool should be interested in the procedure and results.     

Weighting and Aggregation in Composite Indicator Construction: a Multiplicative Optimization Approach

Composite indicators (CIs) have increasingly been accepted as a useful tool for benchmarking, performance comparisons, policy analysis and public communication in many different fields. Several recent studies show that as a data aggregation technique in CI construction the weighted product (WP) method has some desirable properties. However, a problem in the application of the WP method is the difficulty and subjectivity in determining the weights for sub-indicators. In this paper, we extend the WP method and propose a multiplicative optimization approach to constructing CIs. This approach requires no prior knowledge of the weights for sub-indicators. Instead, the weights are generated by solving a series of multiplicative data envelopment analysis type models that can be transformed into equivalent linear programs. Additional relevant information on the weights, if available, can be incorporated into the proposed models. We apply the proposed approach to the 2005 data of 27 economies in the Asia and the Pacific region in the United Nations’ Human Development Index study and present the results.     

Towards the Use of Crowdsourced GIS Data to Georeference Child Well-Being Globally

Child well-being is described as a social problem, such that in most cases social indicators defined by experts are used, without much input from local and heterogeneous communities. This article makes the case for an innovative way to monitor and explore child well-being globally, while also critiquing currently used indices. Based on Nussbaum’s Capabilities approach, we propose to formulate indices by using GIS and a comprehensive list of relevant geospatial datasets, using uniquely designed meta-layers and feature catalogues. Moreover, we argue that these geospatial data can be collected and mapped by the local communities, through participatory approaches, thus not relying on authoritative engagement and data. This will contribute to the empowerment of communities, making them relevant stakeholders with valued contribution to the process. This paper outlines preliminary work related to concepts and ideas, whereas future work is planned to develop an elaborate and comprehensive GIS model, and conduct further spatial analysis in the framework of a small scale campaign.     

Area Deprivation and Liver Cancer Prevalence in Shenzhen,China: A Spatial Approach Based on Social Indicators

Cancer has become an alarming threat to human health and well-being worldwide. Examining the social determinants of cancer prevalence should effectively inform the practices and strategies on cancer treatment and prevention. However, rather few studies have conducted in this regard for developing countries. This paper attempts to characterize the association between area deprivation and liver cancer prevalence using a case of Shenzhen, China. Data from 2009 to 2011 provided by Shenzhen’s Health Information Center are used to calculate the incidence rate of liver cancer at district level. An area deprivation index (ADI) at district level is established by integrating 13 indicators of 5 domains (income, employment, education, housing and demography). The weight for each indicator is determined by two typical subjective methods (AHP and fuzzy AHP) and two common objective methods (Entropy and Coefficient Variation). Quantitative comparisons indicate that the four methods are highly consistent though they assign different weight to the indicators. Spatial lag regression identifies significantly positive linear relationships between ADIs and liver cancer incidence rate from 2009 and 2010. It suggests that greater possibility of liver cancer prevalence would be expected in districts of higher social deprivation. The results also denote that the obtained relationships are insensitive to weight determination method and temporal dimension. Our study demonstrates that spatial autocorrelation should be incorporated for better understanding the association between area deprivation and liver cancer prevalence at district level. This paper provides some new insights into social indicators research.     

The Qualityity-of-Life (QOL) Research Movement: Past, Present, and Future

The purpose of this paper is to trace the history of the social indicators or quality-of-life (QOL) research movement up to today, forecast future developments, and pave the way for future growth. Broadly speaking, we tried to review historical antecedents from the point of view of different disciplines, with specialists in each discipline preparing the basic text and co-authors helping to polish the material into a finished product. Briefly, we begin with an overview of the conceptual and philosophical foundations of our field of research. That is followed by a historical overview of the sociological roots of our field. In the third section, the main contributions from the discipline of economics are reviewed. Following that, the fourth section covers a historical overview of the literature on health-related quality of life is provided. Next, the history of QOL research from a marketing perspective is reviewed followed by a history from the perspectives of industrial/organizational psychology and management. Finally, we offer some forecasts for future QOL studies that are intended not only to predict what might happen, but to encourage, stimulate and motivate researchers to undertake new initiatives.     

Using Ranked Weights and Acceptability Analysis to Construct Composite Indicators: A Case Study of Regional Sustainable Society Index

A variety of published composite indicators, i.e., Energy Trilemma Index and Sustainable Society Index, are commonly aggregated with equal weights. However, this plausible scheme is criticized as eclecticism and ignores the discriminating power of the different indicators. Differing from the traditional methods that assign weights to each indicator for the purpose of aggregation, this paper proposes a new mechanism to construct composite indicators using ranked weights and stochastic multicriteria acceptability analysis. More specifically, this study comprehensively consider all possible preferences among the indicators. Under each preference, we develop a sophisticated mathematical transformation to calculate the least and most favorable scores of each entity, which formulates the lower and upper bounds of the intervals. Then an interval decision matrix, alternatively described as a stochastic decision problem, is formulated to construct the composite indicators. Holistic acceptability indices are generated and regarded as a new composite indicator, which is capable of providing a comprehensive and robust composite indicator with more discriminating power. We apply the proposed method to modify the regional sustainable society index and present the obtained results and comparisons.     

Doing better than the optimum

There may be a need for operationalizing basic social indicators like unemployment, inflation, crime, and others in such a way as to allow for going beyond what has traditionally been considered as the zero point of unemployment, inflation, crime, or other social indicators. Doing so can be helpful in stimulating greater societal achievement and happiness, especially with appropriate incentives and a growth perspective. Doing so can also facilitate better comparisons of alternative policies across nations and across other policies.     

Construct Validation and Application of a Common Measure of Social Cohesion in 33 European Countries

The aim of the paper is to assess the construct validation of a multidimensional measure of social cohesion which is well theoretically grounded and has an equivalent/comparable interpretation across all European countries. Up-to-now published research on social cohesion is deficient in either one or both of these important aspects. This paper attempts to cover this gap. The task is accomplished in two steps. In the first step, we conceptualize social cohesion, flowing mainly from Bernard and Chan’s definitions of social cohesion. Based on this theoretical framework we operationalize social cohesion and derive a set of intermediate indicators in the data. By return we verify whether these indicators empirically reflect/corroborate the multidimensional structure of the concept proposed by the theory. In the second step, we examine whether the obtained intermediate indicators of social cohesion form the same constructs across countries and whether they can yield a cross country equivalent measure of social cohesion. To test the validity of the theory we use multidimensional scaling and confirmatory factor analysis. Both models are able to verify the equivalence of the structural results between groups (i.e. countries). Confirmatory factor analysis produces further meaningful measures of these constructs. The analyses are based on the data from the 1999 European Values Study (EVS). The outcomes of the analyses reveal that, firstly, the existence of the multifaceted construct of social cohesion suggested by the theory has been corroborated by empirical analysis of the EVS data (i.e. social cohesion consists of components of formal and substantial relationships and political and socio-cultural domains). Secondly, the proposed constructs measuring social cohesion are equivalent across all analysed countries and thus allow the calculation of internationally comparable national scores of social cohesion. Application of the aggregate measures at the country level will illustrate the interest of the approach for further research.     

On the measurement of certain aspects of social development

An attempt has been made in this paper to measure social development. There has been some limited use of per capita national income as a measure of development. A number of social indicators from various societal areas may, alternatively, better represent social development of a region. A composite index of selected social indicators has been proposed as a measure of social development. Certain existing methods of construction of composite indexes have been examined and new methods proposed using the variance-covariance matrix and intercorrelation matrix of the indicators and the concept of (Euclidean) distance. Two examples of intertemporal and international comparisons have been presented to illustrate the proposed methods.The author is grateful to Prof. M. Mukherjee under whose supervision and guidance this work was carried out. However, the views expressed in this paper are those of the author and not of the institution to which he belongs.     

Explaining Accessibility and Satisfaction Related to Healthcare: A Mixed-Methods Approach

Accessibility and satisfaction related to healthcare services are conceived as multidimensional concepts. These concepts can be studied using objective and subjective measures. In this study, we created two indices: a composite healthcare accessibility index (CHCA) and a composite healthcare satisfaction index (CHCS). To calculate the CHCA index we used three indicators based on three components of multidimensional healthcare accessibility: availability, acceptability and accessibility. In the indicator based on the component of accessibility, we included an innovative perceived time-decay parameter. The three indicators of the CHCA index were weighted through the application of a principal components analysis. To calculate the CHCS index, we used three indicators: the waiting time after the patient arrives at the healthcare service, the quality of the healthcare, and the healthcare service supply. These three indicators making up the CHCA index were weighted by applying an analytical hierarchy process. Three kinds of regressions were subsequently applied in order to explain the CHCA and CHCS indices: namely the Linear Least Squares, Ordinal Logistic, and Random Forests regressions. In these regressions, we used different independent social and health-related variables. These variables represented the predisposing, enabling, and need factors of people´s behaviors related to healthcare. All the calculations were applied to a study area: the city of Quito, Ecuador. Results showed that there are health-related inequalities in regard to healthcare accessibility and healthcare satisfaction in our study area. We also identified specific social factors that explained the indices developed. The present work is a mixed-methods approach to evaluate multidimensional healthcare accessibility and healthcare satisfaction, incorporating a pluralistic perspective, as well as a multidisciplinary framework. The results obtained can also be considered as tools for healthcare and urban planners, for more integrative social analyses that can improve the quality of life in urban residents.