Indicators and Indices of Child Well-being: A Brief American History

This paper traces the history of indicators and indices of child well-being from its origins in the social indicator movement of the 1970s through recent developments in the field. Initial work calling for comprehensive sets of indicators of child well-being and later recommendations for indicator improvement are detailed. Products that resulted from these recommendations, such as comprehensive indicator reports and online resources are described. The development of child well-being indices is shown to parallel the history of indicators. The contributions of state and international indicator and index projects are included as well. Important aspects of child well-being indicator development are uncovered through documenting its history, including the need to focus on subjective as well as objective measures of well-being, and the need to develop indicators for the multiple ecological contexts of children’s lives, but to separate measures of context from measures of child outcomes. A rough consensus emerges across the history of indicator efforts on the critical domains of child well-being: physical, psychological, cognitive, social, and economic well-being. Recent recognition of the importance of indicators of positive development is noted. This paper was funded by the KIDS COUNT project of the Annie E. Casey Foundation.     

The value of children to lesbian and non-lesbian mothers

This study compares the responses of a sample of lesbian and non-lesbian mothers to items on the Value of Children (VOC) Scale. This instrument measures the reasons that may explain why adults become parents and the values and functions for children in the lives of adults. Results indicate that there are more similarities than differences between lesbian and non-lesbian mothers in responses on the VOC Scale. Only one subscale that measures goals and incentives for assuming parenthood and having children differentiated between the groups. The lack of differences in response patterns on the VOC scale between lesbian and non-lesbian mothers may be attributed to the similar socialization experiences of women in our society regarding parenthood and the expectations of individuals upon assuming this role in adulthood. The significant differences in responses on the one subscale may be attributed to differences in world-views of lesbian and non-lesbian mothers.     

Measuring World Better Life Frontier: A Composite Indicator for OECD Better Life Index

The OECD Better Life initiative recently released a comprehensive set of 11 indicators of well-being covering a group of countries. Each individual indicator corresponds to a key topic that is essential to well-being. However, the problem of aggregating them is left to users of this dataset. Using these as individual indicators, we propose a composite indicator of overall well-being, which is intended to measure the performance of each country in terms of providing well-being to its people. The ‘benefit of the doubt’ approach (BOD), a well-known aggregation tool based on a weighed sum, assigns the most favourable weights for each entity under investigation. BOD may also be considered to evaluate the performance of each entity in terms of its efficiency. Regarding individual indicators as outputs, it constructs the benchmark production frontier from observed individual indicators. A composite indicator based on BOD equals the distance between each entity’s individual indicator and the production frontier, indicating its efficiency. It is widely considered that the well-being of a country’s people stems from its productive base, which is characterized by capital assets and social infrastructures. Thus, the productive base can be considered the input used to produce well-being, which is reflected by individual indicators. Therefore, when we apply BOD to aggregate individual well-being indicators across countries, we implicitly assume that all countries have the same productive base, as BOD addresses only the output and neglects the input. This inaccurate assumption leads to a distorted performance measure. Data envelopment analysis (DEA), in which BOD has its roots, is a tool to measure the efficiency of each entity by allowing for differences in inputs as well as outputs across entities. DEA also measures efficiency by using the distance to the production frontier; however, unlike BOD, DEA constructs the production frontier more accurately by utilizing the information of inputs as well as outputs, leading to a better performance measure. We apply DEA to aggregate 11 individual well-being indicators into a composite indicator using the World Bank’s estimates of each country’s productive base. The composite indicator based on BOD is distributed similarly to and is highly correlated with the existing Human Development Indicator (HDI). It is also positively correlated with GDP per capita. On the other hand, we show that the composite indicator based on DEA is negatively correlated with HDI as well as GDP per capita.     

Happy life-expectancy

One of the aims of social indicator research is to develop a comprehensive measure of quality-of-life in nations that is analogous to GNP in economic indicator research. For that purpose, several multi dimensional indexes have been proposed. In addition to economic performance, these also acknowledge the nation's success in matters like schooling and social equality. The most current indicator of this type is the ‘Human Development Index’. In this approach QOL is measured by input; the degree to which society provides conditions deemed beneficial (‘presumed’ QOL). The basic problem is that one never knows to what extent the cherished provisions are really good for people. An alternative is measuring QOL in nations by output, and consider how well people actually flourish in the country. This ‘apparent’ QOL can be measured by the degree to which citizens live long and happily. This conception is operationalized by combining registration based estimates of length-of-life, with survey data on subjective appreciation-of-life. Life-expectancy in years is multiplied by average happiness on a 0–1 scale. The product is named ‘Happy Life-Expectancy’ (HLE), and can be interpreted as the number of years the average citizen in a country lives happily at a certain time. HLE was assessed in 48 nations in the early 1990's. It appears to be highest in North-West European nations (about 60) and lowest in Africa (below 35). HLE scores are systematically higher in nations that are most affluent, free, educated, and tolerant. Together, these country-characteristics explain 70% of the statistical variance in HLE. Yet HLE is not significantly related to unemployment, state welfare and income equality, nor to religiousness and trust in institutions. HLE does not differ either with military dominance and population pressure. The conclusion is that HLE qualifies as the envisioned comprehensive social indicator. It has both clear substantive meaning (happy life-years) and theoretical significance (ultimate output measure). HLE differentiates well. Its correlations fit most assumptions about required input, but also challenge some. The indicator is likely to have political appeal.     

Identifying Social Trust in Cross-Country Analysis: Do We Really Measure the Same?

Many see trust as an important social resource for the welfare of individuals as well as nations. It is therefore important to be able to identify trust and explain its sources. Cross-country survey analysis has been an important tool in this respect, and often one single variable is used to identify social trust understood as trust in strangers, namely: “Generally speaking, would you say that most people can be trusted or that you can’t be too careful in dealing with people?” The question, however, is whether this variable captures the meaning of social trust equally well in all countries. This is investigated by comparing different measurements of trust across five clusters of countries in all parts of the world. The analysis shows that there are considerable problems associated with the use of the variable of “most can be trusted” as an indicator of trust in strangers, both in terms of strangers understood as “people you meet for the first time” and in terms of strangers understood as people of a different nationality and religion. These results question the validity of previous investigations of social trust based on international survey material. The analysis furthermore reveals that a new survey question about trust in people one is meeting for the first time is better suited as indicator of social trust in comparative analysis.     

The Dynamics of Social Indicator Research for California’s Central Valley in Transition

How can social indicator research improve understanding of community health as well as inform stakeholders about the assets disadvantaged communities have for coping with disparities? This paper describes the development and evolution of the Partnership for Assessment of Communities (PAC) and its best practices for social indicator research. The PAC will be of interest to researchers across multiple disciplines for a number of reasons. First, PAC is a working model of best practices for multidisciplinary scholarly inquiry. Second, it has developed an integrated model of quantitative and qualitative methodology to define and measure community health as compared to traditional quality-of-life indicators. Third, it serves as an example of “action research,” in that the findings have the potential to make an impact on community stakeholders and policy outcomes in the greater Central San Joaquin Valley of California, a region characterized by deep social and economic disparities.     

大城市流动人口居住形态与居住空间变动机理——以上海闵行区为例

流动人口的居住空间与居住形态是体现流动人口生存与发展的重要标志。本文着重分析了闵行区流动人口居住的基本特征与空间分布,构建了流动人口在城市居住的滞留模式,全面剖析了不同尺度下流动人口的流动机理,揭示了流动人口空间转换的状态与时空特征,提出实现居住分布空间优化的基本对策。     

An Assessment of Social Welfare in Spain: Territorial Analysis Using a Synthetic Welfare Indicator

The aim of this paper is measure social welfare in Spanish provinces. To achieve this, we use the distance method P₂ to compose a synthetic indicator of welfare for 2007, the last year for which data are available. The index comprises information on different social indicators from various life domains and enables a classification of Spanish provinces, as well as a study of the impact of each individual indicator in order to determine provincial disparities in social welfare levels.     

Priming Effects in Measuring Life Satisfaction

Life satisfaction, as an indicator of subjective well-being, has received increasing attention in the recent decades. It has become a potential indicator of development, to be used complementary to objective measures. However, no clear consensus exists on the relationship between life satisfaction and satisfaction with the various domains of life as well as on the measurement of life satisfaction. This paper addresses the relationship between overall life satisfaction and domain satisfaction (DS). The objective is to identify potential biases induced by priming effects when measuring DS. Four types of theoretical models, derived from existing literature, are tested in different scenarios. Data from three waves of the European Quality of Life Surveys are analyzed using a structural equation modeling framework to provide empirical evidence. An original experimental design is employed to demonstrate that priming effects cannot be ignored. A comparison of models including priming effects and those ignoring such biases shows that the former is a better fit and has higher propensity to explain the variations in life satisfaction and DS.

     

Structural Analysis of a Consumption-Based Stratification Indicator: Relational Proximity of Household Expenditures

This paper proposes a new analysis of consumption inequality using relational methods, derived from network images of social structure. We combine structural analysis with theoretical concerns in consumer research to propose a relational theory of consumption space, to construct a stratification indicator, and to demonstrate its analytical efficacy with aggregate consumption data. This allows us to emphasize the multi-dimensionality of the relationship between social groups and consumption patterns in the context of a stratification perspective. We utilize the concept of structural equivalence, derived from network models of social structure, to recover relational proximity between social groups and between consumption categories. Additionally, we use relational proximity to construct a new indicator of consumption hierarchy and we test its predictive ability in estimating consumption behavior. We discuss the theoretical implications of our findings for a spatial theory of stratification, as well as possible directions for future research.     

Community Interests and Indicator System Success

Testing the validity of indicator systems is a task almost always left to the scientific community, in standard practice and in keeping with the quest for objectivity prevalent in politics and in society as a whole. This paper calls for a reinvigorated agenda within indicators research to question this practice and develop alternative methodologies to test the validity, legitimacy and impacts of indicator systems. The assumptions of objectivity are not realistic in contemporary policy contexts. As a result, the scientific community is not the only community with a stake in assessing an indicator system; it is perhaps not even the most important one. Four other community types with distinct interests in the design, use and impacts of indicator systems are identified. First is the community of elected officials, whose positions of power make their perspective important and unique; second is the community of engaged publics, whose stake is made clear by the principles of participatory and deliberative democracy; third are communities of cultural difference; and fourth are professional communities. The unique relationship each of these communities has with indicator systems, and thus the tests and challenges offered by each to the practice of indicators, is discussed through a case study of a public participation process for the development of a new set of regional sustainability indicators in Vancouver, Canada. The evidence suggests new research questions for scholars in policy and indicators studies who seek to better understand paths and barriers to implementation and impact in indicators practice, as well as lessons for other local indicators practices.

DEA-Like Model and Common Weights Approach for the Construction of a Subjective Community Well-Being Indicator

A growing literature assesses the quality of life and well-being in geographically and/or politically divided areas. The paper proposes a new subjective well being (SWB) indicator based on residents’ satisfaction with environment and community, personal life and leisure activities. Our approach is a novel construction and new application of the well-being index, specifically, a DEA-like model with common weights under the benefit of the doubt (BoD) approach. This approach is very interesting in the SWB framework, allowing us to differentiate efficient individuals or estimate the relative importance of each domain in the SWB indicator. The results state that Personal life is the domain that most profoundly affects SWB index; it also differs in groups of individuals and geographic spaces.     

A social indicator based on time allocation

The authors have developed a social indicator, called Lambda, that has as its base the manner in which individuals allocate their time among various life activities. This indicator does not suffer from the usual demand characteristics and experimenter bias associated with most subjective social indicators, i.e., those based on question-naires. It is not a single rate indicator in the sense of suicide rate. Lambda is a weighted sum social indicator with both subjective and objective aspects. The weights are decided by the population under consideration and not by the investigators or some other outside agents. The elements to be summed are the frequency functions for the discrepancies that arise when individuals state the amount of time they would like to spend in an activitiy versus the amount of time they actually spend at the activity. There are frequency functions for each activity. The properties of this indicator are discussed in detail. A pilot study comparing Lambda to another social indicator and some demographic variables was conducted with 1012 undergraduate students. The results of the pilot study show a high correlation between Lambda and the other social indicator. The results are presented. Lambda is currently being used by the Gallup organization.     

Empirical indicators of educational equity and equality: A thai case study

The focus of this paper is social indicator reporting, not the development of scientific generalization. This social indicator analysis involves the development of an extensive set of empirical indicators to show the extent of equity and equality of education. Equity and equality are viewed as distinct concepts, each with its own indicators. The set of indicators proposed is applied to Thailand in a case study. Examples of indicators used are (1) the relationship between socioeconomic background and access to preschool education, (2) the relationship between provincial wealth and opportunities for upper primary education, (3) proportion of females in lower primary schools, and (4) degree of equality among provinces in grant per pupil in primary education. The discrepancy ratio is introduced as an indicator to standardize measures of inequality and inequity. This set of indicators shows moderate levels of inequality and inequity in Thailand, with the most serious problems at the preschool, secondary, and higher education levels. Empirical indicators of this type are viewed as critically necessary for governments everywhere to enable them to chart their progress toward greater equity and equality.     

A Sociodemographic Risk Index

In this paper, we conceptualize and develop an index of sociodemographic risk that we hypothesize will be an improvement over the standard poverty measure as a measure of risk for children’s development. The poverty line is widely used in government statistics and in research but is also widely acknowledged to have multiple shortcomings. Using recent data from the National Survey of America’s Families, we develop and examine a Sociodemographic Risk Index for two potential purposes: (a) to serve as a summary indicator of children’s environments that affect their well-being, and (b) to serve as a variable that can be used to identify at-risk subgroups of children whose well-being should be examined separately in indicator reports. Based on substantial research on children’s development, we chose five variables for the index: family income, family structure, parent education, family size, and home ownership. An additive sociodemographic risk index using these variables is strongly associated with multiple measures of child well-being in both bivariate and multivariate analyses. Hence, it serves as a good marker of risk for children and therefore as an indicator that could be monitored over time, across groups, and across places, as well as a variable that could be used to identify subgroups of at-risk children whose well-being should be monitored. However, analyses do not indicate that it performs better at identifying at-risk children than the current poverty measure. Therefore, we recommend the Sociodemographic Risk Index primarily as an additional summary indicator to be monitored, rather than as a replacement for the poverty measure.     

Childhood events and circumstances influencing high school completion

This paper is an empirical exploration of the effects of a variety of family and economic circumstances experienced during childhood on one indicator of success in young adulthood--high school completion. The estimates suggest that parental education and mother's work are positive and significant determinants of high school completion, whereas growing up in a family with more children (who compete for resources), being persistently poor and on welfare, and moving one's residence as a child have significant negative impacts on high school completion. The effects of some family stress and economic events differ depending on the age of the child when they occur. The results support the economic model of investment in children, as well as the welfare culture and socialization models.     

Is Football an Indicator of Development at the International Level?

The aim of this paper is to examine whether football can be considered an indicator of development at the international level. An empirical econometric model is designed in order to analyse development in terms of GDP per capita as well as in terms of the Human Development Index. Cross-sectional and time-series information are used. The results suggest that FIFA rankings of national teams can be used to complement our understanding of multidimensional development, in particular, in those countries where the availability of information is not as good as researchers would like.     

Measuring Quality of Life

This paper considers quality of life (QOL) to be a global, yet unidimensional, subjective assessment of one's satisfaction with life. This conceptualization is consistent with viewing QOL assessments as resulting from the interaction of multiple causal dimensions, but it is inconsistent with proposals to limit QOL to health-related quality of life (HRQOL). We test the unidimensional yet global conceptualization of QOL using data from coronary artery bypass graft (CABG) patients. The Self-Anchoring Striving Scale (SASS) and four other indicators derived from the literature, all seemed to function as indicators of a single concept (QOL) that was repeatedly drawn upon as the patients determined their responses to these indicators. However, only about half the variance in each indicator was attributable to that common QOL source. Several structural equation models are used to assess whether the superior performance of the Life 3 indicator is an artifact of the repetition of an item within this indicator. The data convincingly indicate that the superior performance is not a memory artifact, and that even the repetition of an identically worded item prodded the patients into drawing yet again upon the same QOL factor that grounded all the other measures.     

Estimating the National High School Dropout Rate

Recent interest has focused on the high school dropout rate as one indicator of the national education picture. Empirical estimates of this "rate" vary considerably, because these estimates are poorly defined. This article reviews some of the current measures and presents a new measure of the high school dropout rate--the proportion of high school students who drop out in a defined period of time (1 year). The estimates show that the national yearly high school dropout rate was about the same in 1985 as it was in 1968. Improvement has occurred, however, since 1968 for specific racial groups as well as for some grade levels.     

CONSTRUCTING A HEALTH AND SOCIAL INDICATOR FRAMEWORK FOR INDIGENOUS COMMUNITY HEALTH RESEARCH

Health and social indicators that capture the distinct historical, social, and cultural contexts of Indigenous communities can play an important role in informing the planning and delivery of community interventions. There is currently considerable interest in cataloguing and vetting meaningful community-level health and social indicators that could be applied to research and health promotion activities in Indigenous communities in Australia, Canada, and New Zealand, inclusive of conventional indicators as well as measures developed specifically for use in or with Indigenous communities. To avoid haphazard selection of indicators, and to assure the comprehensiveness and relevance of any given set of indicators, a framework that can accommodate and conceptually classify indicators representing a full range of domains is required. We report here on the development of a conceptual framework, by which Indigenous community indicators, and more general community-level social indicators, can be sorted, catalogued, and systematically classified within four hierarchical levels. The indicator framework was developed across Canada, Australia and New Zealand in consultation with academic researchers and Indigenous community stakeholders, building from established health and social indicator systems. The Indigenous indicator framework permits Indigenous communities, public health researchers, and funding agencies to compare and select the most appropriate indicators for application in specific contexts from the multitude of existing indicators.