Stability and Change of the Quality of Working Life in Restructuring Municipalities

Social Indicators Research - Local government in Finland has undergone considerable restructuring since 2005 as a number of new larger municipalities (mergers) and partnership areas between social...     

To Weight or not to Weight: The Role of Domain Importance in Quality of Life Measurement

Although there are problems associated with thepractice of deriving weighted satisfactionscores by multiplying importance ratings andsatisfaction ratings of life domains, theseproblems do not seem sufficient to justify theabandonment of incorporating domain importanceweighting into quality of life (QoL)instruments. This paper shows that domainimportance as a weighting mechanism in QoLinstruments can be conceptually,psychometrically and empirically reasonable. Given the lack of conceptual or theoreticaldevelopment regarding the role of domainimportance in QoL instruments, it is importantto focus our attention on how to weight.     

A DEA Approach to Measure the Quality-of-Life in the Municipalities of the Canary Islands

The notion of the quality of life has always intrigued economists, sociologists and other researchers in the area of social science. Since the genesis of the definition of Gross Domestic Product (GDP) as a truthful measure of well-being and economic development, other sophisticated methodologies have been proposed in the literature to measure the quality-of-life (QOL) that extend in a multidimensional way this complex concept. Measuring QOL in municipalities consists in finding a set of comparable attributes that can be weighted by some metric in order to construct a synthetic index. Thus, the narrow vision obtained by a single measure as the GDP, in which differences in the QOL cannot be fully analyzed, is overcome. Based upon a refinement of data envelopment analysis (DEA)—the cross-efficiency method, the current paper develops a synthetic QOL index that is based in 19 partial indicators which present the tradeoffs of different dimension for the 87 municipalities of the Canary Islands in Spain. Marginal rates of substitution are calculated to evaluate the tradeoffs on QOL dimensions. A method is also proposed to determine the scores chart of each municipality which can be used as a tool to policy makers in order to establish a program of improving the ranking position of the municipality identifying the critical QOL factors.     

Selecting Capabilities for Quality of Life Measurement

The capability approach advocates that interpersonal comparisons be made in the space of functionings and capabilities. However, Amartya Sen has not specified which capabilities should be selected as the relevant ones. This has provoked two types of criticism. The stronger critique is Martha Nussbaum’s claim that Sen should endorse one specific list of relevant capabilities. The weaker claim is that some systematic methodological reasoning should be conducted on how such a selection could be done. I will first suggest that Nussbaum’s claim can be better understood by looking at some of the core differences between her and Sen’s version of the capability approach. Then I will argue against the use of Nussbaum’s list for quality of life measurement on grounds of epistemology and legitimacy. However, procedural methods also have their problems, notably the danger of selection biases. The paper concludes by sketching one possible way to minimize such biases and by briefly discussing a set of methods for the selection of capabilities for quality of life measurement.     

Measurement of the Concentration of Potential Quality of Life in Local Communities

Social Indicators Research - Quality of life is an individual evaluation of the objective conditions in which a person lives. Objective living conditions determine the potential quality of life,...     

Possibilities and Limitations for the Measurement of the Quality of Life in Urban Areas

Recently, quality of life has become a commonly used concept and is showing growing significance in economic and political terms. Additionally, quality of life issues have been recognized within the migration processes. In one view, quality of life relates to the degree to which the necessary conditions for satisfaction exists in a given society or region.It is argued that quality, as a measurable variable would refer to both the subject and the object of inquiry. In this sense, quality of life has two aspects, psychological and environmental ones. Nevertheless, this limitation constitutes a major problem since some researchers have totally neglected the perception of the people who live there, while another limitation is about the components, indices and indicators chosen in a certain analysis.In this paper, the aim is to test some measurement methods of the quality of life and to show the possibilities and limitations of a developing area in comparison to developed ones. In this way, some comparative analysis can be performed on the measurement methods of the quality of life levels with respect to regional variations.     

Considering Social Cohesion in Quality of Life Assessments: Concept and Measurement

In recent years, the concept of social cohesionhas received great attention in scientificresearch as well as in politics. It representsa central policy goal at the national and thesupranational level as declared for example bymany policy documents of the European Union.The present paper integrates social cohesioninto the components of quality of life anddistinguishes two essential goal dimensionsinherent in the concept: the inequalitydimension and the social capital dimension. Thefirst dimension incorporates the goals ofreducing disparities, promoting equalopportunities and combating social exclusion,while the second dimension deals with allaspects aiming at strengthening socialrelations, interactions and ties. A proposal ismade on how to measure this conceptualisationof social cohesion within the framework of aEuropean System of Social Indicators, and someexamples of indicators of social cohesion inEurope are discussed.     

基于因子分析法对居民生活质量的度量与评价

随着经济的发展,人们的物质生活基本得到满足,在能够保持基本生活的前提下,更加关注精神方面的需求。社会发展的最终目标是人的全面发展,因此,我们应该更加关注居民生活质量的提高。本文利用因子分析法对居民生活质量的高低进行度量,找出居民生活质量综合得分排名前五的城市进行逐一分析,提出建议。     

Quality of Life Measurement in the Field of Intellectual Disabilities: Eight Principles for Assessing Quality of Life-Related Personal Outcomes

As the concept of quality of life (QOL) has evolved from a theoretical concept to both a measurable construct and an action-oriented change agent in the field of intellectual disabilities, there has emerged a corresponding need to develop, implement, and use a systematic approach to the assessment of domain-referenced quality of life outcomes. The purpose of this article is to suggest eight principles based on published literature and the authors’ experiences that should underlie the assessment of QOL-related personal outcomes in the field of intellectual disabilities. Data from the development of the personal outcomes scale are used to exemplify each principle. The article’s premise is that model development and test construction should work in tandem, and that a ‘quality of life assessment instrument’ should be based on an empirically derived QOL conceptual and measurement framework/model.     

Do We Need to Weight Satisfaction Scores with Importance Ratings in Measuring Quality of Life?

Trauer and Mackinnon (2001; Quality of life research 10, pp. 579–585) recently proposed that weighting satisfaction scores by importance ratings in measuring quality of life is undesirable and unnecessary. However, they didn’t use empirical data to support their claim. In this study, different weighting algorithms developed by Cummins (1997; Comprehensive Quality of Life Scale – Adult: Manual [Deakin, University Australia]), Raphael et al. (1996; Journal of Adolescent Health 19, pp. 366–375), Ferrans and Powers (1985; Advances in Nursing Science 8, pp. 15–24) and Frisch (1992; Comprehensive Casebook of Cognitive Therapy [Plenum Press, New York]) for measuring quality of life (QOL) were applied. Weighted scores computed from these weighting algorithms were compared with unweighted scores in predicting a global life satisfaction measure by correlation and moderated regression analyses. One hundred and thirty undergraduate students at National Taiwan University participated in the study voluntarily. They completed a 15-item questionnaire on quality of campus life developed by the authors. They also completed the Satisfaction with Life Scale (SWLS), a global life satisfaction measure developed by Diener et al. (1985; Journal of Personality Assessment 49, pp. 71–75). The correlation results revealed that the weighted scores computed from different algorithms didn’t have higher correlations to the SWLS than the unweighted scores. The moderated regression results also revealed that item importance did not moderate the relationship between item satisfaction and the overall life satisfaction. All these findings revealed that weighting satisfaction with importance is unnecessary. This paper was a part of the first author’s Master Thesis     

Quality of Life in Hong Kong: the Cuhk Hong Kong Quality of Life Index

The CUHK Hong Kong Quality of Life Index, which aims to assess and monitor the quality of life in Hong Kong, is a composite index incorporating both objective and subjective measures. This index, developed by the Faculty of Social Science of The Chinese University of Hong Kong, employs data collected in representative sample surveys and official statistics. A wide range of life domains is covered and the year 2002 is taken as the base year of the study. Index scores demonstrate that in general the quality of life in Hong Kong has improved slightly in 2003; scores of the composite index and the three sub-indices on sectorial performance are somewhat higher than those of the previous year. It is noteworthy that Hong Kong has made noticeable progress and performs as well as many economically advanced societies in certain life domains; yet, the well-being of the people relies on further improvement in others.     

Quality of Life in Hong Kong: the Cuhk Hong Kong Quality of Life Index

The CUHK Hong Kong Quality of Life Index, which aims to assess and monitor the quality of life in Hong Kong, is a composite index incorporating both objective and subjective measures. This index, developed by the Faculty of Social Science of The Chinese University of Hong Kong, employs data collected in representative sample surveys and official statistics. A wide range of life domains is covered and the year 2002 is taken as the base year of the study. Index scores demonstrate that in general the quality of life in Hong Kong has improved slightly in 2003; scores of the composite index and the three sub-indices on sectorial performance are somewhat higher than those of the previous year. It is noteworthy that Hong Kong has made noticeable progress and performs as well as many economically advanced societies in certain life domains; yet, the well-being of the people relies on further improvement in others.     

The Role of Leisure in Determining Quality of Life: Issues of Content and Measurement

Traditional approaches to themeasurement of leisure's relationship toquality of life have emphasised place-centredindicators (e.g., the frequency of leisurefacility usage) and tended to ignoreperson-centred criteria (e.g., satisfactionwith leisure experiences). Moreover, theunderlying assumption in subsequent policyoutcomes has been that increasing the number offacilities and services will automaticallyenhance people's QOL. This paper focuses onboth the content and measurement of leisure andits relationship to quality of life. Itreports the results of a study that examinedthe relative importance of selected place andperson-centred leisure attributes in predictingquality of life. The study tested a set ofobjective and subjective indicators that peopleare most concerned with in their leisure lives. Overall, it was found that the person-centredleisure attribute, leisure satisfaction, wasthe best predictor of quality of life. Place-centred attributes failed to influencequality of life. Further analysis revealedthat people who engage in social activitiesmore frequently and who are more satisfied withthe psychological benefits they derive fromleisure, experience higher levels of perceivedquality of life. The results suggest thatthere is a need to reconcile objectiveknowledge with subjective perceptions ofleisure in order to achieve greaterunderstanding and comprehensive measurement ofthis complex domain and its relationship toquality of life.     

A Comparison of Normalized and Non-Normalized Multiplicative Subjective Importance Weighting in Quality of Life Measurement

Social Indicators Research - In quality of life (QOL) studies, importance weighting generally refers to the incorporation of perceived importance as a weighting factor into measures of QOL....     

Multidimensional Quality of Life: A New Measure of Quality of Life in Adults

This paper presents a new measure for assessing quality of life (QOL) –the Multidimensional Quality of Life (MQOL)– and describes its derivation, characteristics, structure and several applications. Reasons for developing the MQOL include the restricted range of assessed domains and the heavy emphasis on health in many standard assessment tools. The MQOL was derived by meaning probes into QOL in different samples. It is a 60-item self-report tool of high reliability and validity covering various themes and forming, in line with factor and cluster analyses, 17 scales that constitute five factors according to confirmatory factor analysis. It has been applied with thousands of individuals, in English, Hebrew, Russian and Arabic, and is adequate for healthy and physically or mentally sick individuals, under regular or challenging circumstances. Described studies present findings in samples of sick or healthy individuals (e.g., unemployed, members of a collapsing Kibbutz); relations between the MQOL and coping strategies in partners of sick individuals; and interrelations of overall and scale scores in new and old immigrants. Conclusions focus on the structure of the MQOL, the specificity of coping effects, and the stabilizing mechanisms of QOL.     

Health and the Quality of Life

The aim of this investigation was to explain theimpact of peoples self-reported health on theirlevels of satisfaction with their health, and theimpact of these things plus satisfaction with otherspecific domains of their lives on the perceivedquality of their lives. The latter was operationalized as general happiness, satisfactionwith life as a whole and overall satisfaction with thequality of life. Seven hundred and twenty-three (723)usable questionnaires returned from a mailout randomsample of 2500 households of Prince George, BritishColumbia in November 1998 formed the working data-setfor our analyses. Among other things, mean respondentscores on the SF-36 health profile were found to belower than published norms from the UK, USA,Netherlands and Sweden, but higher than scores fromAberdeen, Scotland. Mean scores on the CES-Ddepression scale also indicated that our respondentstended to have more depressive symptoms thancomparison groups in Winnipeg and the USA. A review oftrends in mean scores on 17 quality of life items(e.g., satisfaction with family life, financialsecurity, recreation, etc.) from 1994, 1997 and 1998revealed that there were only 7 statisticallysignificant changes across the four year period andthey were all negative. Multivariate regressionanalysis showed that health status measured with avariety of indicators could explain 56% of thevariation in respondents reported satisfaction withtheir health. A combination of health status plusdomain satisfaction indicators could explain 53% ofthe variation in respondents reported happiness, 68%of reported life satisfaction and 63% of reportedsatisfaction with the overall quality of life. Sixtypercent of the explained variation in happiness scoreswas attributable to self-reported health scores, whileonly 18% of the explained variation in satisfactionwith life and with the overall quality of life scoreswas attributable self-reported health scores.     

Measurement and Determinants of Quality of Life of Older Adults in Ho Chi Minh City,Vietnam

Social Indicators Research - This study represents the first study using Vietnamese data that is based on the World Health Organization’s quality of life instrument—the older adults...     

Quality of Life Measurement and Application to Policy: Experiences from the UK Office for National Statistics

This paper outlines the Office for National Statistics’ approach to measuring quality of life and its application to UK policy. It focuses on the value of stakeholder engagement and presentation for embedding concepts and fostering legitimacy for outputs and provides examples of how quality of life is starting to be used within UK policy.