Why Social Policy Needs Subjective Indicators

There are many qualms about subjective indicators, and some believe that social policy would be better for not using them. This paper consists of a review of these objections. It is argued that policy makers need subjective indicators, the main reasons being: 1. Social policy is never limited to merely material matters; it is also aimed at matters of mentality. These substantially subjective goals require subjective indicators. 2. Progress in material goals can not always be measured objectively. Subjective measurement is often better. 3. Inclusive measurement is problematic with objective substance. Current sum-scores make little sense. Using subjective satisfaction better indicates comprehensive quality. 4. Objective indicators do little to inform policy makers about public preferences. Since the political process also does not reflect public preferences too well, policy makers need additional information from opinion polls. 5. Policy makers must distinguish between `wants' and `needs’. Needs are not observable as such, but their gratification materialises in the length and happiness of peoples' lives. This final output criterion requires assessment of subjective appreciation of life-as-a-whole     

A test of the utility of social indicators for behavioral health service planning

Given current imperatives for more effective, responsive, and economical government, policy planners and administrators are seeking increasing assistance from social scientists. Here the usefulness of social indicators to the processes of policy planning and implementation in the delivery of mental health, alcohol and drug abuse services is investigated to determine whether social indicator data can contribute to more effective policy planning. In a two part study, the relationship between social indicators and Specific sources of these data were: population total, subdivided by geographic area and race (Caucasian, Black, and Other, which in Arizona is virtually all Native Americans) from the 1975 special census; population by age and ratio of dissolutions to marriages from the Arizona Statistical Review for 1977; crime rates from the Arizona State Justice Planning Agency for 1975; and cause of death rates from the Bureau of Vital Statistics, Arizona Department of Health Services for 1975. Subjective measures of psychological well-being were not available for the internal validational component of the study. state wide service utilization rates and The Negative Affect Scale measures the individual's level of anxiety, worry, loneliness, and sadness, and is associated with other measures that have been used in epidemiological studies to identify persons with psychological difficulties. The Psychiatric Screening Inventory assesses an individual's level of psychiatric impairment as evidenced by the frequency with which he or she reports having experienced each of the 22 psychological and psychosomatic symptoms on the scale. It has also been used in numerous epidemiological studies to investigated levels of impairment among various populations. The Positive Affect Scale reflects the degree to which the person is involved with, interested in, and experiences control over his or her physical and social environment. Active involvement with the world and frequent social participation are considered to be conducive to the experience of positive affect. The Perceived Quality of Life Scale measures the degree to which the persons is satisfied with the quality of his or her life. The score on this scale is a composite of the respondent's level of satisfaction in different areas of life such as standard of living, health, personal functioning, and family life. The greater the satisfaction in these separate areas, the higher will be the individual's overall evaluation of the quality of his or her life. psychological well-being in the community is examined. Both objective and subjective social indicators were studied. Both types of indicators were found to be useful and complementary in identifying service needs and states of well-being in the community.     

Evaluating Quality of Life in Urban Areas (Case Study: Noorabad City, Iran)

Quality of urban life (QOUL) has become an important field within urban studies. The increased level of attention to this topic is due to the increasing importance of QoL studies in monitoring public policies and in the role they can play as effective tools in urban management and planning. The main objective of this study is to measure the QOUL in the town of Noorabad in Iran, using subjective and objective indicators. In addition to secondary datasets, this study relies on a perception survey of households in the selected city. Based on an 11-point Likert scale, the mean of the overall life satisfaction of the respondents was found to be 6.06. At the same time, it has been found that satisfaction from employment opportunities is lowest among all other indicators. The comparison between the subjective and objective QoL in Noorabad indicated that 25 % of the households are in a state of well-being, 30.1 % are in a state of deprivation, while 24.4 % are in dissonance and 20.4 % are in a state of adaptation. Although correlation between objective and subjective dimensions of the QoL has not been found to be high, in general, the findings of this study reveal the importance of simultaneous studying of both objective and subjective dimensions of QoL. Results and findings of this study will be useful in designing and implementing future policies in the town of Noorabad.     

The Impact of Adaptive Preferences on Subjective Indicators: An Analysis of Poverty Indicators

Subjective indicators are often criticized since they are thought to be particularly affected by the phenomenon of adaptive preferences and social comparison. For social policy purposes, processes of downward adaptation in disadvantaged individuals are of particular importance, i.e., it is supposed that such people compare themselves with others who are in the same precarious situation or even worse off and, as a result, lower their expectations and adapt their aspirations and preferences to their material and financial constraints. Based on the 2006–2010 waves of the Swiss Household Panel study, this contribution examines whether, and to what degree, indicators of material deprivation, subjective poverty and subjective well-being are affected by such downward adaptations. Our empirical analysis demonstrates that the bias caused by adaptation processes varies considerably among different measures and that, although subjective indicators are indeed often affected by this phenomenon, there are also robust measures, notably Townsend’s deprivation measure, Halleröd’s proportional deprivation index and the subjective well-being measure of general life satisfaction.     

On ‘Consistent’ Poverty

The measurement of poverty as ‘consistent’ poverty offers a solution to one of the primary problems of poverty measurement within Social Policy of the last three decades. Often treated as if they were synonymous, ‘indirect’ measures of poverty, such as low income measures, and ‘direct’ measures, such as indices of material deprivation, identify surprisingly different people as being poor. In response to this mismatch, a team of Irish researchers put forward a measure which identified respondents in as being in poverty when they experienced both a low standard of living, as measured by deprivation indicators, and a lack of resources, as measured by a low income line. Importantly, they argued that the two measures required an equal weight. In this paper, I present a reconsideration of the consistent poverty measure from both conceptual and empirical perspectives. In particular, I examine the claim that low income and material deprivation measures should be given an ‘equal weight’. I argue that, from a conceptual perspective, the nature of the indicators at hand means that a deprivation-led measurement approach might be understood to align with the definition of poverty which Nolan and Whelan outline and, from an empirical perspective, that it is the material deprivation measure—and not the low income measure—which is particularly effective in identifying individuals at risk of multiple forms of deprivation. However, I argue that greater attention needs to be given to the question of whether indicators of material deprivation provide a sufficient measure of material poverty and suggest that advancing the measurement of material deprivation beyond its relatively rudimentary state represents an important priority for poverty research.     

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.     

The Development of the Good Relations Measurement Framework in Britain: A Template for Experiential Social Measurement

This article explores the development of the Good Relations Measurement Framework (GRMF), the first attempt in Britain to create a framework designed to measure how people experience their lives, specifically in relation to their interactions with each other. It provides a reference point for others seeking to construct social indicator measurement frameworks which capture the experiential in the social policy field. In a wider sense, it provides a case study of the use of social indicators within the policy process in the modern polity. The overall objective of the GRMF is to measure the state of Good Relations in Britain. Seven key areas emerged as being crucial for the development of measurement frameworks during the construction of the GRMF. Firstly, a decision has to be taken about the extent to which social measurement frameworks are confined to measurement only or are to have a normative element. Secondly, a working definition of the subject area is needed early in the process. Thirdly, an element of consultation with the public is important. A fourth issue relates to the practical method of construction through the use of ‘long lists’ of potential indicators, and finding a balance between an ‘ideal’ list of potential indicators emerging from public consultation and a second list of existing indicators drawn from existing surveys. A fifth issue relates to the availability of social indicator data at an appropriate geographical level. A sixth issue is that social indicators drawn from different surveys are not always comparable. A final factor is that while quantitative indicators are useful as a tool of social measurement, qualitative research adds a further dimension which is especially important in particular circumstances.     

The U.S. federal effort in developing social indicators

As an introduction to this issue, some historical background of the effort of the U.S. Federal goverment in tracking social trends and making use of social indicators is reviewed. The 1934 study, Recent Social Trends in the United States, and the monographs analyzing demographic trends sponsored by the U.S. Bureau of the Census, are seen as antecedents to the current support accorded what has become a kind of triennial Social Indicators publications. The three subject-matter social indicators volumes of the Federal government — Science Indicators, The Condition of Education and Health: U.S.A. — are reviewed in this volume, and the programs of several other agencies, the Bureau. etc., to develop and communicate social indicators are discussed. The forecast for the future of social indicators includes the development of social accounts, the improvement of models that have criterion social indicators as the dependent variable, and the appreciation of the statistical system to provide the information needed for improved monitorship and understanding. These are seen as joint endeavors of the public and private sectors.     

The Multiple Uses of Subjective Well-Being Indicators

There are barriers to the significant use of subjective well-being indicators in policy making. These barriers can be overcome, but this will take a co-ordinated effort. These indicators can play multiple roles. They can stimulate public debate, inform the development of formal or informal economic models, influence the choice of other indicators more directly related to policy outcomes, draw attention to important issues which might otherwise be ignored, input into a new form of cost benefit analysis, be used in before and after appraisal, and be used by the public to hold politicians to account. Subjective indicators are better placed to play these roles than either dashboards or indexes based on objective indicators. It is not clear whether they will play these roles and two scenarios are possible. In the first, the relatively marginal role the indicators are beginning to play in policy will be expand, but they will not move centre stage, or in any way challenge existing headline indicators such as gross domestic product. In the second, a set of tools is developed which politicians and journalists find useful, both for communicating and for developing their ideas. In this scenario, the ideas implicit in subjective well-being indicators find their way into public debate and thus drive policy change. As a result they do challenge existing headline indicators.     

Ecological and Motivational Determinants of Activation: Studying Compared to Sports and Watching TV

How can we enhance activation? Studying shouldbe a challenging, yet rewarding activity forstudents who intend to graduate. The Flowtheory (Csikszentmihalyi, 1990, 1997) predictsthat differential levels of perceived challengeand skill (flow) are related to optimizedmental states and increased activation.However, the influence of concurrent mentalstates and specific environmental cues for thisstate of optimal experience is unknown. In thisstudy we explore the contextual and subjectivedeterminants of flow in relation to activationin studying, and compare this with sports andwatching TV or listening to the radio. Method: 43 undergraduate students at theUniversity of Maastricht were assessed with theExperience Sampling Method for one week(Delespaul, 1995). At random moments 10 timeseach day subjects evaluated the social context,activities, and mood states. Analyses were donewith multilevel random regression techniques.Results: We replicated the predictedflow-related patterns in activation andemotions. While overall activation wasincreased in high challenging moments(β = 0.51; 95% CI: 0.36, 0.19), thiseffect was less pronounced during study(β = ?0.16; 95% CI: ?0.25, ?0.07). Skillslevels did not affect activation(β = ?0.01; 95% CI: ?0.06, 0.05).Concurrent emotions were independently andadditionally related to activation(Δχ² ₍₄₎ = 117.12,p < 0.0001). Unexpectedly, activation increasedwith demotivation (β = ?0.12; 95% CI:0.16, 0.07). We found highly significant andadditional effects of context for all theactivities (study: χ² = 732.63;p < 0.0001; R² = 0.30; active leisure:χ² = 753.40; p < 0.0001; R² = 0.31;and passive leisure: χ² = 555.86;p < 0.0001; R² = 0.24). Conclusions. TheFlow theory is a valuable model leading topredictions of optimal experience as well asactivation. However, the dynamics of activityengagement are more complex and related toconcurrent emotions and context. In the Dutchstudent culture, escaping boredom or compulsoryduties seems to drive individuals more thanpursuing flow.     

Away from Dissatisfaction,Closer to Well-Being: A Multidimensional Synthetic Measure

As part of the international debate on methods for measuring the social progress of a population, there has been increasing interest in individual subjective opinions about different aspects of quality of life (elementary indicators). In the literature, many methods have been introduced for producing measures of subjective well-being based on these opinions. Some of these methods aim to construct synthetic measures that allow us to consider all the aspects simultaneously. This topic often requires subjective methodological choices and/or distributional assumptions and, when the opinions are encoded by means of categorical ordinal values, the eventual quantification of the original variables. Here, starting from the Istat multipurpose survey on households’—aspects of daily life, we propose an original method for constructing a global satisfaction index. We introduce a variable based on the joint distribution of all the elementary indicators that is able to express the individual degree of global satisfaction. This approach allows us to maintain the original ordinal data scale and to avoid any aggregation formula. By comparing the observed distribution of the new variable and the theoretical one, which refers to the situation of overall dissatisfaction (all individuals are dissatisfied for every aspect), we propose three indices of global satisfaction. We also implemented two simulation studies that confirms both the efficacy and robustness of our method. We then applied it to measure the global satisfaction degree of the Italian population, using Istat multipurpose survey data for the year 2013.     

Measuring Subjective Issues of Well-Being and Quality of Life in the European Statistical System

Over the last decades, the European Statistical System has developed many European statistics and indicators to measure social progress and sustainable development. Initially only in a few cases the measuring instruments contained questions on subjective issues. With the adoption of its Communication on “gross domestic product and beyond” the Commission has given an impetus to the development of subjective social indicators. This has led to the establishment of a first set of indicators on quality of life and well-being and to a new instrument (the 2013 EU-SILC ad-hoc module for measuring subjective well-being). This new step in European statistics creates an important potential for researchers to engage in in-depth analysis and for national and European Union policy makers to use the resulting indicators—and in casu subjective well-being indicators—for developing and monitoring policy strategies and programmes.     

Subjective and objective indicators of regional quality of life in Switzerland

Mainly because of data limitations, direct comparisons between subjective and objective indicators of local or regional quality of life have been inconclusive until now. The 1978 opinion survey among more than 33 000 Swiss recruits representing about 80% of their age cohort allows one for the first time to disaggregate survey data regionally for all parts of a whole country. The portrait of 97 regions and 25 cantons of Switzerland, based on the recruits' assessments of their native commune, seem adequately to reflect the rich variety of quality of life experiences in this extremely decentralized and culturally heterogenous country. Evidence from several procedures for validating the opinion survey data is presented, among which comparisons between the subjective and selected objective indicators of regional quality of life prove to be most conclusive. In general, the intercorrelations between these two types of social indicators are astonishingly high. Some consequences of this result for the subjective vs. objective social indicator controversy are elaborated. Methodological considerations on the peculiar elusiveness of the quality of life category follow, indicating the outline of a workable methodology of usable social indicators knowledge.     

Measuring Access to Continuing Professional Education among the Health Workers in Ghana: Constructing an Index

To measure the levels of access to continuing professional education (CPE) among the health workers, an index (continuing professional education access index: CEAI) was constructed. The CEAI is composed of six indicators: (i) availability of CPE; (ii) distribution of CPE; (iii) informational access; (iv) geographical access; (v) economic access; and (vi) preparedness to release staff. When developing the equation of the CEAI, these six component indicators were weighted in accordance with the order of importance reported by the earlier studies. To test its validity, the CEAI was applied to the CPE status in three regions of Ghana. The results of this application revealed that there was greater discrepancies in the CEAI values according to the type of health facilities. The type of health facilities with the greatest CEAI (= 0.609) implying the best access to CPE was clinics while training/research institutes resulted in the lowest CEAI (= 0.447). Regional variation among the three regions was not significant. A simple linear regression between CEAI and adjusted number of CPE opportunities per health worker produced an extremely high conformity in the model (R² = 0.960). This may indicate the validity of the proposed CEAI model to the large extent.     

A Happy Nation? Opportunities and Challenges of Using Subjective Indicators in Policymaking

This article seeks to combine decades of academic research with emerging policy demands by systematically assessing the state of the knowledge on using subjective indicators in public policy. In particular, it outlines opportunities that arise from a new focus on subjective information as a basis for policy decisions and challenges that ought to be overcome. The paper presents pros and cons of using subjective (versus objective) indicators, and it discusses six ways in which information on citizens’ subjective well-being (SWB) can advance the policymaking process: Monitoring progress, informing policy design, policy appraisal, examining the divergence of objective and subjective quality of life, ranking public institutions and allocating resources, as well as informing development strategies and goals. In doing so, best practice examples are presented and put in context. Finally, subjective measures “beyond SWB” are discussed and a new measure for the overall satisfaction with society is suggested. The next frontier for research and practice will be to build on the potential outlined here and to address the deficits in order make the most out of subjective indicators and the unique value they can add to the policymaking process.     

Gender or Occupational Status: What Counts More for Well-Being at Work?

The aim of this study is to provide cross-cultural empirical support that endorses the scientific nature of Quality of Life (QoL), which a review of definitions reveals as a nomothetic and multidimensional concept (personal and environmental circumstances), made up of a set of subjective and objective indicators. Although this is commonly accepted, many instruments and authors reduce it to subjective and personal conditions. Bearing in mind the aim described, multi-group Structural Equation Modelling analysis was applied to two representative samples made up of 1217 participants aged over 60 from Mexico and Spain, recruited both at random (through the random route procedure), who completed the CUBRECAVI (Brief Questionnaire of Quality of Life). In this model two third-order latent variables are considered for QoL: personal and external factors, both made up of objective and subjective indicators. As predicted, the results permit us to state that the structural model is invariant across the two countries—that is, although the QoL construct has the same structure in the two countries, the importance of the indicators (factor loadings) and the relationships between them are not equivalent.     

Quality of life in a European Perspective: The EUROMODULE as a New Instrument for Comparative Welfare Research

In this article, a new survey instrument for comparative welfare researchand social reporting is described, the EUROMODULE. It has been set up inintensive discussions among experts from several nations engaged inquality of life research and social reporting. By combining indicatorsof objective living conditions, subjective well-being, and quality ofsociety, with this new survey central aspects of the quality of life ofEuropean citizens can be investigated. The EUROMODULE initiative aimsat strengthening efforts to monitor and systematically analyze thecurrent state and the changes in living conditions and quality of lifein Europe in a comparative perspective. So far, data for eightEuropean countries are available.     

Some extensions of the keyfitz momentum relationship

A stable population, such that the total birthrateB(t) =B _o e ^ro^t, is abruptly altered by modifying the age-specific birth rate,m(x). The survivor function remains unaltered. The modified population ultimately settles down to a stable behavior, such thatB(t) =B ₁ e ^r ₁ ^t . It is shown thatB ₁/B ₀ = (R ₀ ?R ₁)/[(r ₀ ?r ₁)R ₀ Z ₁], whereR ₀,R ₁ are the net reproduction rates before and after the change, and \(\bar Z_1 \) expected age giving birth for the stable population after the change. The age structure and transients resulting from the change are also described. The effect of an abrupt change in the survivor functionl(x) is also investigated for the simple case where the change is caused by alteringl(x) toe ^?λx l(x). It is shown that the above ratio becomes \(B_1 /B_0 = N_1 /N_0 = [1 - \smallint _0^\infty e^{ - kx} g(x)dx]/\bar Z_1 \lambda \) , whereN refers to the numbers in the population,k =r ₀ + λ, andg(x) =m(x)l(x), the value before the change. A measure for the reproductive worth of the population is also established.     

Objective and subjective social indicators of the quality of life in American SMSA'S: A reanalysis

The paper examines and critiques Schneider's work that related the subjective and objective indicators of quality of life in American cities. The work then employs data collected by Liu in 1973, and the Institute for Survey Research in 1972 as part of their national election study for 41 large and medium-sized Standard Metropolitan Statistical Areas (SMSA's) to re-examine the question of the relationship between the objective and subjective factors. Although the results of this paper are in general comparable with those obtained by Schneider, there are individual cases where they differ. The paper then concludes with a discussion of the reasons why objective and subjective indicators may coincide.     

Quality of life indicators and health: Current status and emerging conceptions

Quality of life is an increasingly common theme in the health status and health promotion literatures. Six approaches that consider quality of life and health are reviewed. These are (a) health-related quality of life; (b) quality of life as social diagnosis in health promotion; (c) quality of life among persons with developmental disabilities; (d) quality of life as social indicators; (e) the Centre for Health Promotion (University of Toronto) model, and (f) Lindstrom's quality of life model. Each approach is considered as to its emphasis on objective or subjective indicators, individual or system-level measurement, value-laden or value-neutral assumptions, and potential relationship to social policy and social change goals. The links among the social indicators, quality of life, and health promotions areas are examined.