1984
DOI: 10.1007/bf00668676
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Summative scales for measuring community satisfaction

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Cited by 15 publications
(9 citation statements)
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“…We believe that our composite measure of community well-being is superior to existing measures of community well-being (e.g., Christakopoulou et al 2001;Whorton and Moore 1984) because our measure is based on an established QOL theory that is well-accepted by the QOL research community, namely bottom-up spillover theory of life satisfaction (Andrews and Withey 1976;Campbell et al 1976). We also believe that our measure is considerably more effective because it is highly diagnostic in relation to life domains that most citizens as well as public policy officials are familiar with-those 14 life domains we have alluded to throughout this paper.…”
Section: Discussionmentioning
confidence: 97%
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“…We believe that our composite measure of community well-being is superior to existing measures of community well-being (e.g., Christakopoulou et al 2001;Whorton and Moore 1984) because our measure is based on an established QOL theory that is well-accepted by the QOL research community, namely bottom-up spillover theory of life satisfaction (Andrews and Withey 1976;Campbell et al 1976). We also believe that our measure is considerably more effective because it is highly diagnostic in relation to life domains that most citizens as well as public policy officials are familiar with-those 14 life domains we have alluded to throughout this paper.…”
Section: Discussionmentioning
confidence: 97%
“…A number of subjective measures of community well-being has been reported in the literature (e.g., Andrews and Withey 1976;Bruin and Cook 1997;Campbell et al 1976;Christakopoulou et al 2001;Gary Linn et al 1989;Lansing et al 1970;Marans and Rodgers 1975;Morris and Winter 1975;Puddifoot 1995;Richmond et al 2000;Rojo Perez et al 2001;Sirgy et al 2000;Sirgy andCornwell 2001, 2002;Speare 1974;Vrbka and Combs 1993;Whorton and Moore 1984;Zumbo and Michalos 2000). These subjective measures can be categorized in terms of two major groups: global and facet-based.…”
Section: Introductionmentioning
confidence: 95%
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“…Модное направление BIG DATA даёт надежду некоторым исследователям, обработав на компьютерах любые массивы данных, автоматически получить нужные рекомендации. Большое распространение в этой сфере получило конструирование интегральных индикаторов разной природы, синтезирующих информацию из большого числа «первичных» показателей [1,6,7]. Однако, п о нашему мнению, б е з формализации содержательных представлений в в и д е математических или статистических моделей получить адекватное описание сложной реальности невозможно.…”
Section: Introductionunclassified