The Family Affluence Scale as a Measure of National Wealth: Validation of an Adolescent Self-Report Measure

One explanation for a lack of consistency in SES-health associations in youth is that parent-based income and occupation measures are inadequate. The Family Affluence Scale (FAS), a four-item measure of family wealth, has been developed in the WHO Health Behaviour in School-aged Children Study as an alternative measure. The aim of this paper is to examine the criterion and construct validity of the FAS as a measure of national absolute wealth in 35 countries. A general measure of national wealth, Gross Domestic Product (GDP) for the year 2001, corrected for Purchasing Power Parity, was used as a gold standard. For the composite FAS index, there was a similar strength in country rank order correlation (0.87) as with GDP, and a Kappa agreement coefficient of 0.57, indicating good criterion validity. FAS index associations with national health indicators were systematically higher than the values obtained with GDP. These features suggest that FAS can be used with confidence in aggregate analyses of HBSC data that focus on relationships between SES and adolescent health.     

Differential Item Functioning of a Family Affluence Scale: Validation Study on Data from HBSC 2001/02

Methodology for making cross-national comparisons is an area of increasing interest in social and public health related research. When studying socio-economic differences in health outcomes cross-nationally, there are several methodological issues of concern, especially when data is derived from self-reported questionnaires. Health Behaviour in School-aged Children (Currie et al. 1998) is a WHO cross-national study using school samples. HBSC provides comparable data, and thereby a unique opportunity to study associations between social indicators and health outcomes within an international perspective. In 2001/02 data was collected from a total of 162,323 children in 32 countries (Austria, Belgium, Canada, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Greenland, Hungary, Ireland, Israel, Italy, Latvia, Lithuania, Macedonia, Malta, Netherlands, Norway, Poland, Portugal, Russia, Slovenia, Spain, Sweden, Switzerland, Ukraine, United Kingdom, USA.). Studies of social inequalities requires that a comparable measure of socio-economic position (SEP) is in use. HBSC has developed a proxy for social position measuring material wealth, the Family Affluence Scale (FAS). This paper studies FAS and whether it is comparable across population subgroups defined by country, age and gender. Initial analysis revealed that an item measuring perceived family wealth was a valid FAS item. Including this item in the FAS score will improve the reliability of FAS. Graphical log-linear Rasch models (GLLRM) showed that FAS contain differential item functioning (DIF) with respect to country, age, and gender as well as local dependency (LD) between items. During the analysis, test equating techniques where used to adjust for the test bias generated by DIF. We recommend that the equated scores are used whenever FAS is included as a variable. This study suggests that HBSC-FAS should contain five items (additional item: perceived family wealth) when analysing data from HBSC 2001/02, and furthermore that each country should adjust for the DIF or make use of the converted FAS scores provided. If using FAS as a proxy for social position at an international level, it is not advised to compare the absolute levels of FAS, but weigh the scale by ridit transformation.

Assessing the Use of the Family Affluence Scale as Socioeconomic Indicators for Researching Health Inequalities in Taiwan Adolescents

This study examined the reliability and validity of the Family Affluence Scale (FAS) and explored the relationship between FAS and health in a general adolescent population of Taiwan. Our data was obtained from a 2009 school-based survey. In total, 3,368 students (1,741 boys, 1,627 girls) in grades 6–10 in Kinmen County, Taiwan completed a modified WHO Health Behaviour in School-Aged Children (HBSC) questionnaire. Indicators of the family’s social position were their parents’ occupation and education. Indicators of material affluence were number of cars, number of holiday travel, whether the participant had his or her own room and number of computers (FAS items). A higher proportion of the participants completed the four family affluence items than their parents’ occupation and education items (≧98% vs. 90% and 88%; respectively). Analysis of the FAS showed a moderate internal reliability (Cronbach’s alpha = 0.35). The associations between the FAS scores and parental occupation and education were moderate (P < .001). Consistent gradients were found for the association between FAS and positive health and health promoting behaviours. In conclusion, the Taiwan version of the FAS had a high completion rate and moderate internal reliability and external validity. The clear associations between the FAS and health indicators confirm the findings of previous studies and suggest that the FAS can be used as an additional measure of socioeconomic status among Taiwan adolescents.     

Measuring Well-Being Over Time: The Adjusted Mazziotta–Pareto Index Versus Other Non-compensatory Indices

Most of the socio-economic phenomena such as development, well-being, and quality of life have a multidimensional nature and require the definition of a set of individual indicators to be properly assessed. Often, individual indicators are summarized and a composite index is created. One of the main problems in constructing composite indices is the choice of a method which allows time comparisons. In this paper, we consider the Adjusted Mazziotta–Pareto Index, a non-compensatory composite index used by the Italian National Institute of Statistics for measuring “Equitable and Sustainable Well-being” in Italy. An empirical comparison with some traditional non-compensatory indices is presented and an Influence Analysis is, for the first time, performed in order to assess the robustness of the index.     

Are Major Events Capable of Affecting Country Rankings? Validating Composite Indexes of Human Progress and Environmental Performance

A desired characteristic of composite indicators is sensitivity to major adverse events. This paper explores how major civil wars and the 2004 tsunami have influenced Human Development Index (HDI) and Environmental Performance Index (EPI) index values of the affected countries, respectively. The analysis shows that HDI and EPI scores have barely changed, being almost exclusively due to variations in GNI/capita for HDI and air quality for EPI. This casts doubt on the composite indexes’ usefulness and their ability to reflect major environmental and societal changes in the affected countries, or shows which dimensions are truly resilient to these events and can constitute a sustainable base for postwar/post-disaster recovery. Human progress and ecological indicators may need an overhaul, in order to account for the changes that actually happen at a point in time, in order to capture substantial changes in the socio-economic and ecological fabric of a country.     

Development of Indicators for Family Well-Being in Malaysia

This study was carried out to develop a set of indicators for measuring and reporting the state of family well-being in Malaysia, and subsequently, to produce an Index of Family Well-Being. To build the set of indicators, domains of family well-being and relevant indicators were identified from past studies. Focus group discussions with families, professional groups and NGOs helped to refine the indicators prior to the main study. Using a stratified random sampling design, 2,808 households were identified (a parent and a child aged at least 13 years), making a total sample of 5,616 respondents. Results indicated ten key indicators that can predict family well-being—resiliency, safety, savings, healthy lifestyle, time with family, work-family balance, importance of religion, number of bedrooms at home, debt and child care—supporting the notion of family well-being being multi-dimensional and interconnected. On the basis of the results, a model of family well-being was hypothesized. This model was used to guide the development of the Index of Family Well-being. Confirmatory factor analysis (CFA) was carried out to determine the fit of the model to data. Five domains of family well-being were identified—family relationships, economic situation, health and safety, community relationship and religion/spirituality. The Index of Family Well-Being was calculated using the equal weighting strategy to each of these five domains. This index showed that the current family well-being of Malaysians is relatively high at 7.95 (SD = 1.38) on a 0–10 Likert response format. The findings suggest that family well-being is multifaceted, made up not only of the immediate family relationships and health and safety of its members, but include having adequate income to meet the demands of a minimum standard of living. Currently, the Index that is developed is only in the form of a numerical value reflecting the state of family well-being, but in future, it can be used to track changes in the family from time to time.     

Health Measurement in Population Surveys: Combining Information from Self-reported and Observer-Measured Health Indicators

Our primary aim is to develop and validate a population health metric for survey-based health assessment that combines information from both self-reported and observer-measured health indicators. A secondary objective is to use this index to examine gender and socioeconomic differentials in the health status of older people. We use data from the second wave of the English Longitudinal Study of Ageing (ELSA) conducted in 2004 (N = 8,870). Information from three observer-measured and three self-reported health indicators was combined, using a latent variable modeling approach. A model that decomposed the manifest health indicators to valid health, systematic error, and random error was found to fit the data best. The latent health dimension represented somatic health, and was tested against three external criteria: height, waist-hip ratio, and smoking status. We present the Latent Index of Somatic Health (LISH), as well as a procedure for deriving the LISH in surveys employing both self- and observer-measured health indicators. Observer-measured and self-reported indicators were found to be equally biased in indexing population somatic health, with the exception of self-reports of functional limitations, which was the most reliable somatic health indicator. As expected, results showed that women had worse health than men and that socioeconomic advantage is associated with better somatic health.     

The weighting of an international health status index

The major purpose of this paper is to suggest possible weights for a global index of health status. The indicators for the global index are taken from the World Health Organization's definition of health as physical, mental and social well-being. These indicators are combined with mortality indicators to arrive at a finalized index. Survey methodology is used to make initial estimates of the weighting of appropriate indicators, based upon a sample of international health scholars. Preliminary results indicate that mortality is weighted 40%, physical health (morbidity and disability) 25%, mental health 15%, and social health 20%. These results are intended as a starting point for future research.     

Pattern of Regional Disparities in Socio-economic Development in India: District Level Analysis

The study assesses the pattern of disparities in socio-economic development at the district level in India applying the Wroclow Taxonomic technique (following Ewusi. Social Indicators Research 3(1) 75–110, 1976, and Arief. Social Indicators Research 11(3) 259–267, 1982) based upon optimal combination of selected socio-economic development indicators. In order to get a clear picture of regional socio-economic disparities in India, the level of development is assessed separately for agriculture, industrial and infrastructural sectors and the districts are classified into four development categories according to the values of the constructed development index. For bringing about uniform regional development and improving the quality-of-life, model districts for disadvantaged districts have been identified and potential targets for various social amenities have been estimated. An attempt has also been made to compare the levels of socio-economic development among various regions in India. The constructed socio-economic development index shows that India’s Southern region is far more and symmetrically developed in comparison of Central and Northern regions. The results show that wide disparities in the level of socio-economic development exist among different districts within and between different regions of India. The level of development in infrastructural service sector is found to be positively and statistically significantly associated with the overall socio-economic development indicating that the growth and progress of the sectors have been going hand in hand in the country. The results show that in Northern and Central regions of India the level of industrial development does not significantly influence the agricultural and overall socio-economic development while agricultural development influences overall socio-economic development. The study suggests that low developed districts require improvement in most of the indicators for enhancing their levels of overall socio-economic development.     

Human Empowerment and Trust in Strangers: The Multilevel Evidence

This study aimed to develop a social cohesion index for understanding the social relation between residents in high-rise group housing complexes through a self-reported questionnaire. As a background of the study, literature on social cohesion and related literature on residents’ social relation in high-rise housing were reviewed. Later, we selected different high-rise group housings of Kolkata, a city in the eastern region of India. We conducted few focus group surveys involving the residents of those high-rises and also conducted expert opinion surveys to identify a context-specific list of statements for evaluating residential social cohesion. Finally, based on the responses of interviews from 652 residents of the identified high-rise housings from the same city, followed by confirmatory factor analyses, three factors of residential social cohesion were identified with adequate reliability and validity. This index holds huge potential to explore residential social relation in high-rise housing and carry out empirical studies, across various disciplines, in other cities in the country and outside the country of similar socio-economic and cultural context.     

Socio-Economic Disparities in the Development of the Romania’s Border Areas

The Romanian border areas include 898 Local Administrative Units 2 (LAU2), of which 88 are urban and 810 rural. Romania has borderline with the following countries: Bulgaria, Republic of Moldova, Serbia, Ukraine, Hungary, of which 63.5 % is Non-European Union boundary. According to the population structure, 51.6 % of the total population is urban and the rest of 48.4 % is rural. In order to assess the socio-economic territorial disparities in the development of the urban space of Romanian border areas, several research stages were carried out: selecting 22 relevant statistical indicators, analyzing territorial disparities, standardizing the absolute values of the indicators, grouping the elementary indicators by 7 multiple indicator clusters (secondary indexes) in order to reflect the main socio-economic development aspects: (1) housing, (2) public utilities infrastructure and green areas, (3) health, (4) labour market, (5) demography, (6) education and (7) local economy. Finally, the authors were able to compute secondary indexes and the Index of Socio-Economic Development as Hull Score with a mean of 50 and a standard deviation of 14, revealing the levels of socio-economic development (high, average and low). Generally, the outcomes of the current study are in line with Romania’s complex socio-economic disparities, rooted in the historic background of the country. Spatially, the economic development follows a West–East direction, the less developed areas being concentrated in the Eastern and Southern part of the country.     

Using Perceived Health to Test the Construct-related Validity of Global Quality of Life

Quality of life (QOL) is considered as aglobal, yet unidimensional, subjectiveassessment of one's satisfaction with life. Weexamine the construct validity of the availableindicators of global QOL by constructing acausal model in which QOL is viewed as causallyresponding to several dimensions of perceivedhealth. Global QOL is measured with fiveindicators derived from the literature, andperceived health is measured by eightdimensions of the SF-36 Health Survey. Thestructural equation model describes the QOL andperceived health assessments of 306 coronaryartery bypass graft (CABG) patients andprovides a stringent test of theunidimensionality of the global QOL indicators.The evidence regarding QOL is worrisome, butnot devastating. The acceptable model fit wasachieved by introducing direct effects leadingfrom the General Health Perceptions concept totwo of the five indicators of global QOL. Thissuggests that there are some mechanisms thatinfluence these indicators without firstaltering QOL, or that these indicators are notresponding in unison to QOL. Furthermore, theFaces QOL indicator required measurement errorcorrelations to two of the perceived healthindicators. This also suggests that there aremechanisms beyond pure QOL that act upon thisindicator. But the problematic effects anderror correlations are modest, so the evidenceagainst these indicators is not particularlystrong. Overall, the Self-Anchoring StrivingScale (SASS) indicator and the Life-as-a -Wholeindicator (from Multiple Discrepancies Theory)seem to be the cleanest indicators of globalQOL. General health perceptions and perceivedmental health both influenced global QOL, whilethe other six health perception concepts had noconsistent impact on global QOL.     

The Shape of South African Society and its Challenges

South Africa's negotiated settlement and its transition to democracy reads like a modern fairy tale. A brief review of South Africa's social indicators serves to temper some of optimism about the country's future. The indicators reflect the society's quality of life which has been shaped by its turbulent history. Political “caste formation”, changing political alliances, the reforms intended to forestall the demise of apartheid, and the race for global competitiveness have left indelible marks on the society's social indicators. A comparison of living conditions in South Africa with those of roughly comparable economies indicates that the country lags behind in securing overall and widespread socio-economic upgrading of the population at large. A review of a cross-section of South African indicators and their trends over time shows that South Africa is still a very deeply divided society with a very large backlog in socio-economic development. There is evidence of breakdown in the society's social cohesion. Popular expectations of future quality of life indicate that the euphoria following on the first democratic elections has been replaced by a sense of realism among all sectors of the population. It is concluded that quality of life as reflected in South Africa's social indicators may get worse before it improves. The challenge will be to avoid new forms of economic “apartheid” which would depress the quality of life of marginal sectors of the population at the expense of the economically privileged.     

Is the Relationship between Socioeconomic Status and Health Stronger for Older Children in Developing Countries?

Recent research on the relationship between child health and income in developed countries reveals a positive gradient that is more pronounced for older children, suggesting that the impact of income upon health accumulates. This article examines whether the same is true in a developing country. Using data from the Indonesian Family Life Survey on children aged 0 to 14 years, we find that although low income adversely affects health, its impact does not differ by age. This finding is robust to the use of both subjective and objective health measures, controlling for selective mortality, the use of alternative measures of households’ resources, and the inclusion of indicators of health at birth and parental health. One explanation for the constancy of the health-income relationship that we explore is the dominant role played by acute illness in determining the general health status of children in a developing-country context compared with the more central role played by chronic conditions in developed countries.     

Children Living Without Their Fathers: Population Estimates and Indicators of Educational Well-being

This paper estimates the number of American children in grades K–12 who live without their biological fathers and examines the association of absent-father status with children’s well-being. The 2003 Parent and Family Involvement in Education Survey of the National Household Education Surveys Program (n = 12,426) shows that 28% percent of White students, 39% of Hispanic students, 69% of Black students, and 36% overall live without their fathers. In bivariate comparisons, absent-father status is associated with reduced well-being: worse health, lower academic achievement, worse educational experiences, and less parental involvement in school activities. When socio-economic factors are controlled, father-absence is associated with small deficits of well-being. The findings suggest that the conventional wisdom may exaggerate the detrimental effects of father absence.     

Poverty as Functioning Deprivation: Global Estimates

Poverty alleviation and eradication have always remained a major challenge for the political leadership at the national and international level. However, no consensus exists about the definition and measurement of poverty. Recent understanding sees poverty as much more than lack of income. Hunger, unemployment and ill heath are just some of many dimensions of poverty. We have contributed to the existing debate by defining poverty as a deprivation of a number of functionings (actual achievements), considered vital but not equally important for human wellbeing, caused by an inadequate command over market or nonmarket resources. We have identified nine basic functionings and corresponding indicators that best reflect these nine basic functionings and develop a composite index of poverty for 193 countries of the world for cross country comparison. We have analyzed poverty for two periods 1990–2000 and 2001–2010 to make an inter-temporal comparison in global poverty. According to our estimates, the global poverty has only modestly come down by 4 percentage points from 35% in 1990–2000 to 31% in 2001–2010. This contrasts sharply with the estimates based on the poverty line of the World Bank that the proportion of population living in extreme poverty has nearly halved from 47% in 1990 to 24% in 2015.     

The Role of Family Policy in Explaining the International Variation in Child Subjective Well-Being

The article proposes an innovative analyse for cross-national differences in the subjective child well-being introducing new indicators and measures. This dimension addresses the issue of welfare support to parents and child early education. The question of this research is to what extend family policies can explain the variability of subjective child well-being components in different European countries. Based on this question, the two objective of this proposal are: (1) to review the existing literature with respect to conceptualization, measurement, and correlates of children’s subjective well-being, with a special emphasis on the context of family policies and family well-being in different European welfare states, and (2) to analyse the relation between these policies and subjective child well-being. In order to get these aims we have elaborated two indexes: the index of child subjective well-being and family policy index. Data for HBSC (Health Behaviour in School-aged Children) for the first index and data from OECD Family Database is used to build these indicators. We found that the index of child subjective well-being is comparatively higher in those countries where family policies are more generous in the areas of preschool education, family services, family spending and duration of paid parental leave.     

Differential fertility in peasant communities: A study of Six Iranian Villages

Summary This paper attempts to study the relation between socio-economic status and fertility in a sample of six villages in Iran. An index of socio-economic status was constructed. The data reveal positive association between socio-economic status and fertility behaviour of rural couples. When duration of marriage, age of woman at marriage and contraceptive use were introduced into the socio-economic status-fertility relationships, they failed to alter the original findings. Because socio-economic status is related to a number of variables which directly or indirectly influence fertility, additional variables such as miscarriage, stillbirth and lactation must be incorporated into rural surveys on fertility differentials.     

Comparing MCDA Aggregation Methods in Constructing Composite Indicators Using the Shannon-Spearman Measure

Composite indicators have been increasingly recognized as a useful tool for performance monitoring, benchmarking comparisons and public communication in a wide range of fields. The usefulness of a composite indicator depends heavily on the underlying data aggregation scheme where multiple criteria decision analysis (MCDA) is commonly used. A problem in this application is the determination of an appropriate MCDA aggregation method. Of the many criteria for comparing MCDA methods, the Shannon-Spearman measure (SSM) is one that compares alternative MCDA aggregation methods in constructing composite indicators based on the information loss concept. This paper assesses the effectiveness of the SSM using Monte Carlo approach-based uncertain analysis and variance-based sensitivity analysis techniques. It is found that most of the variation in the SSM arises from the uncertainty in choosing an aggregation method. Therefore, the SSM can be considered as an effective measure for comparing MCDA aggregation methods in constructing composite indicators. We also use the SSM to evaluate five MCDA aggregation methods in constructing composite indicators and present the findings.     

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.