Social indicators of perceived life quality

Modern societies in both developing and developed countries have real and legitimate concerns about the enhancement, maintenance, and redistribution of individual well-being. Indicators of perceived well-being provide direct measures of what societies are trying to achieve, permit cross-sector comparisons, can indicate the adequacy of coverage of ‘objective’ indicators, and can contribute to social policy making. in both the long and short run. Some commentators, however, have suggested perceptual indicators suffer from methodological weaknesses associated with their validity, interpretability, completeness, and utility. Each of these possible weaknesses is addressed in some detail. New research evidence and certain philosophical perspectives are presented, and it is concluded that none of these presumed weaknesses is sufficient to invalidate the development and use of perceptual indicators. Suggestions are made concerning methodological research needed to support the development of indicators of perceived well-being. It is noted that the materials and results developed in the author's research on Americans' perceptions of life quality may be useful for suggesting approaches to the development of indicators of perceived life quality relevant to other cultures.     

Developing indicators of environmental quality: The experience of the council on environmental quality

In the late 1960s there was great interest in the U.S. environmental field for duplicating the success economists had in developing statistical indicators. This article traces the history of the development of environmental indices at the Council on Environmental Quality from initial research aimed at preparing one or at best a few indices of environmental quality to the most recent effort which aims to organize indicators showing conditions and trends on a wide variety of environmental topics. The Council intends to distribute the findings periodically. The report may be viewed as a briefing book for policymakers. Criteria used in selecting and developing indicators —relevancy, selectivity, availability of data, changes over time, statistical quality, and scope of coverage — are discussed. A key purpose of this effort is to improve the quality of data available for making national environmental policies. Appendixes included are: (1) a bibliography of works dealing with the general problems of developing, using, and evaluating environmental indicators; (2) a selection of over 100 U.S. Federal periodical reponts on specific aspects of environmental conditions; and (3) a comprehensive framework for identifying topics and selecting meaningful and useful environmental indicators to be used as the report outline.     

Objective quality of life indicators and the external validity of community research findings

We assessed how representative the objective quality of life in our research community was in order to provide a basis for judging the external validity of environmental-behavioral research findings that will emerge from future investigations. We also provided a methodology of evaluation that could be duplicated by other community study groups. The central city and county units of a U.S. Midwestern metropolitan area were categorized into four geographic reference zones with structural attributes that differentiated them along a city-suburban-rural continuum. Within this geographic frame-work, we were able to evaluate how eleven major categories of our community's quality of life compared, and to unambiguously assign the community's quality of life a position along the city-suburban-rural continuum.     

The stability and validity of quality of life measures

Effective social indicators must be stable when individual or societal characteristics are unchanged and dynamic when circumstances alter. Highly reliable measures may be poor indicators because they are insensitive to change. Little evidence is available on the sensitivity or validity of objective and subjective indicators. A lack of panel data has restricted the assessment of the stability of subjective measures. This paper examines longitudinal data on a representative sample of 2162 Canadians interviewed in 1977 and again in 1979. Test-retest correlations of approximately 0.50 were obtained for satisfaction and self-anchoring ladder measures among respondents who reported no significant changes in their lives during the past two years. Correlations were substantially lower, as expected, for those reporting life changes. Comparisons of the absolute values of these subjective indicators show that very little change in quality of life measures occurs when stable circumstances are reported but the indicators rise or fall significantly when situations change with downward adjustments being more dramatic than upward modifications. Positive and negative life events had little effect on overall evaluations of life quality. In general, these findings provide very strong evidence for the stability and validity of subjective indicators over time. These measures, with one exception, were constant in unchanging situations and sensitive to change when it occurred.     

Causes and indicators of housing quality

This paper examines the feasibility and validity of one method for combining measures of different dimensions of the quality of a household's housing situation into a summary index value. Housing quality is treated as an unobservable variable for which there are multiple observable causes and indicators. Alternative mathematical models are specified, and their parameters are estimated using data from a sample of low-income renter households in a major U.S. metropolitan area.     

Value dimensions,cultural differences,and the prediction of perceived quality of life

This research sought to identify the dimensional structure of values, their relationship to perceived QOL, and to examine cultural differences in value systems. A sample of 200 respondents was asked to provide direct, indirect, and importance ratings of a range of values. It was found that these could be adequately represented by seven dimensions, and that comparable dimensions were obtained from all three sets of value measures. This finding was replicated by alternative analyses, and also replicates previous research, providing strong evidence for the generality of the structure. Some inconsistent differences in values were found between the three ethnic groups (European, Maori, and Polynesian) that comprised the sample, but it was concluded that there were no clear cultural differences in values. No cultural differences were found in QOL measures also. Some possible explanations of these results are discussed. Value dimensions for direct and indirect value measures were found to be useful predictors of QOL, with close, personal dimensions generally being the best predictors. Value importance dimensions were not found to be useful QOL predictors, and it is proposed that future research should focus on aspiration measures.     

The effect of population growth on environmental quality

This paper summarizes research on the effect of population growth on environmental quality. Land transformations induced by the spatial expansion of agriculture are probably the major route by which population growth has affected features of the natural environment. These transformations are not automatic and their extent is influenced by social institutions. Intensification of agricultural land use is an alternative response with its own set of environmental implications. These are especially salient in the case of expanded irrigation. In contrast to relations in the agricultural sector, a new version of the conventional I = PAT equation is introduced to suggest that population growth is a minor influence on the extent of industrial pollution. Nevertheless, population policy may play a useful role in strategies to reduce industrial pollution.     

The perceived quality of life in Norway: Regional variations and contextual effects

This article deals with perceived quality of life and its relationship to sociodemographic background variables in Norway. We try to answer two questions, viz (1) to what extent does the absolute level of quality of life as well as the relationships between quality of life and individual-level sociodemographic variables vary between Norwegian counties? and (2) are such variations related to specific characteristics of the various counties? Some between-county variation is found, but in most cases the pattern of variation is not replicated across surveys. For variation in the absolute level of QOL as well as in the relationship between an individual's education and QOL, however, there is a moderate degree of stability. Contextual analyses show that the relationship between education and QOL is positive and moderately strong in affluent counties, near zero or negative in economically more backward areas. The results are interpreted within the framework of a person-environment fit model.     

Population size and environmental quality

This paper presents a simple general equilibrium analysis of first best allocations in an economy where a consumption good is produced using labor. Production results in pollution, which is a public bad. Pollution abatement can be achieved either by restricting production or by using additional labor. We consider how the first best allocation and Pigouvian tax vary with population size. Consumers are unambiguously worse off when the population is larger, but not necessarily due to increased pollution. In fact, optimal policy on how pollution and labor should vary with population size is very sensitive to preferences and technology. The best response to an increase in population size might be either to increase or to decrease emissions and/or labor, depending on functional forms and parameters. However, given separable preferences and some convexity, the optimal emissions tax increases, and the first best level of per-capita consumption decreases with population size. The paper also considers the extent to which exogenous technical progress can overturn these conclusions. Received August 28, 1996 / Accepted January 27, 1997     

Political beliefs and subjective indicators of quality of life

A recent article by Buttel et al. argued that the subjective satisfaction of individual respondents with their personal lives may be related to their political ideological beliefs. Employing survey data collected in Wisconsin in 1974 they demonstrated a significant linkage between total life satisfaction and political cynicism. This paper proceeds to reanalyze their results, employing 1972 election data collected by the Survey Research Center. The paper argues that one must differentiate a standard measure of political cynicism from the type of measure employed in the Buttel et al. work. For the standard measure of political cynicism no linkage was found with total life satisfaction, but for a personal measure that was similar to the one employed in the Buttel et al. article there was a relationship. The previous results suggest that the findings of the Buttel et al. article were brought about by the unique manner in which they defined political cynicism.     

Ideology and social indicators of the quality of life

This paper explores the possibility that social-psychological, evaluative measures of social well-being/quality of life (QOL) perceptions may embody unintended ideological elements. We argue that individual QOL satisfactions are likely caused, in part, by ‘satisfactions’, or conservative orientations, vis-à-vis societal institutions. Four dependent measures of QOL attitudes-overall life satisfaction, service satisfaction, community satisfaction, and powerlessness-are derived from factor analyses and established measurement procedures. Each of these QOL indicators is found to exhibit significant bivariate associations with measures of political-economic ideology. These relationships are somewhat reduced, but persist at statistically significant levels, when socio-demographic background variables are held constant. We then discuss the implications of our results for theory and method in the social indicators field.     

Measures of the perceived overall quality of life

Respondents participating in a national quality of life study were asked to assess their levels of satisfaction or dissatisfaction with each of a set of fifteen domains of their lives. They were also asked to describe their lives as a whole, using both satis-faction and semantic-differential types of scales. Canonical correlation analysis was used to find the combinations of domain-specific and global items with the highest correlation. The two indices derived from this analysis, the Index of Well-being and the Index of Domain Satisfactions, have been examined in relation to a variety of demographic and situational variables, including age, indicators of socioeconomic status, employment status, and size of community. The relationships discovered provide some preliminary evidence for the validity of these indices. The reliability of the measures (as measured cross-sectionally) and their stability over a period of some eight months are both acceptably high. We conclude that both of these measures form acceptable indicators of the perceived overall quality of life.     

Objectifying the subjective: The measurement of environmental quality

The paper begins by examining the nature and measurement of environmental quality (EQ) pointing to the tensions between insider and outsider accounts and lay and expert perceptions. Lay accounts are seen as particularly crucial in residential environments and QoL research into these fields is assessed. But QoL and EQ are seen as closely related phenomena. While there exist important concepts and approaches e.g. relating to the nature of places and the significance of contextual data, it is argued that ethnographic investigations and the theory of structuration may help reconcile the tensions and that all approaches will lead to better interpretation, understanding and explanation of the nature of the subjective world.     

Cultural bias in ratings of perceived life quality

The results of comparative surveys have demonstrated great differences of perceived life quality. Yet there is doubt whether these differences mean that people are really more satisfied in one country than in another. It is generally believed that the responses are distorted by factors such as language, familiarity with concepts like satisfaction, and social desirability pressures. Though often alleged, the truth of these charges has not yet been demonstrated empirically. Ostroot & Snijder (1985) now claim to have demonstrated that about 40% of the difference in satisfaction between the French and Americans is due to ‘cultural bias’: in particular to a rosier outlook of the latter. Yet their arguments labor under two defects: Firstly, their use of the word ‘bias’ is misleading. They do not demonstrate any discrepancy between avowed satisfaction and ‘true’ satisfaction. Speaking of a ‘cultural effect’ would be more appropriate. Secondly, Ostroot & Snyder do not demonstrate that the greater satisfaction of Americans is due to a rosier outlook on their part. The data do not allow the conclusion that Americans hold a rosier view than the French, nor that such a view is responsible for their greater satisfaction.     

Comparing two global measures of perceived neighborhood quality

This article examines and compares two global measures of perceived neighborhood quality: satisfaction and attachment. In doing this, the article expands upon the general satisfaction model by developing and testing a model of perceived neighborhood quality which is appropriate to both of these summary measures. Using survey data, the article demonstrates that satisfaction and attachment are each affected by social interaction in the neighborhood and that each can be distinguished by how strongly it taps the cognitive and affective components of well-being. The article also demonstrates the differential impact of general and local social status variables on each of the global measures as well as the impact of perceived homogeneity.     

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.     

A critique of the ZPG urban stress test: On the uses and misuses of social indicators

This is an expanded version of a paper originally prepared for presentation at the annual meetings of the North Central Sociological Association: Louisville, KY; March 22–24, 1990.