In Valuing Health, Dan Hausman argues that well-being is not measurable, at least not in the way that science and policy would require. His argument depends on a demanding conception of well-being and on a pessimistic verdict upon the existing measures of subjective well-being. Neither of these reasons, I argue, warrant as much skepticism as Hausman professes.

Wodak (2019) persuasively argues that we are not justified in believing that well-being measurements are linear. From this, he infers grave consequences for both political philosophy thought experiments and empirical psychological research. Here I argue that these consequences do not follow. Wodak’s challenges to the status of well-being measurements do not affect thought experiments, and well-being empirical researchers may be justified in making average comparisons even if their measurements are not linear.

Naturalness is an extra-empirical quality that aims to assess plausibility of a theory. Finetuning measures are often deputized to quantify the task. However, knowing statistical distributions on parameters appears necessary. Such meta-theories are not known yet. A critical discussion of these issues is presented, including their possible resolutions in fixed points. Both agreement to and skepticism of naturalness’s utility remains credible, as is skepticism to any extra-empirical theory assessment that claims to identify “more correct” theories that are equally empirically adequate. (...) The severe implications of SEETA are set forward in some detail. We conclude with a summary and discussion of the viability of three main viewpoints toward naturalness and finetuning, where the “moderate naturalness position” is suggested to be most appealing, not suffering from the disquietudes of the extreme pro- and anti-naturalness positions. (shrink)

"Well-being," "welfare," "utility," and "quality of life," all closely related concepts, are at the center of morality, politics, law, and economics. Griffin's book, while primarily a volume of moral philosophy, is relevant to all of these subjects. Griffin offers answers to three central questions about well-being: what is the best way to understand it, can it be measured, and where should it fit in moral and political thought. With its breadth of investigation and depth of insight, (...) this work holds significance for philosophers as well as for those interested in political and economic theory and jurisprudence. (shrink)

A study was undertaken of the views of users of two genitourinary medicine (GUM) clinics in England on unlinked anonymous testing (UAT) for HIV. The UAT programme measures the prevalence of HIV in the population, including undiagnosed prevalence, by testing residual blood (from samples taken for clinical purposes) which is anonymised and irreversibly unlinked from the source. 424 clinic users completed an anonymous questionnaire about their knowledge of, and attitudes towards, UAT. Only 1/7 (14%) were aware that blood left over (...) from clinical testing may be tested anonymously for HIV. A large majority (89%) said they would agree to their blood being tested, although 74% wanted the opportunity to consent. These findings indicate broad support for UAT of blood in a group of patients whose samples are included in the HIV surveillance programme. The findings suggest the need for greater attention to be given to the provision of information and, if replicated in a larger survey, may justify a reappraisal of UK policy on UAT. (shrink)

Well-being measurements are frequently used to support conclusions about a range of philosophically important issues. This is a problem, because we know too little about the intervals of the relevant scales. I argue that it is plausible that well-being measurements are non-linear, and that common beliefs that they are linear are not truth-tracking, so we are not justified in believing that well-being scales are linear. I then argue that this undermines common appeals to both (...) hypothetical and actual well-being measurements; I first focus on the philosophical literature on prioritarianism and then discuss Kahneman’s Peak-End Rule as a systematic bias. Finally, I discuss general implications for research on well-being, and suggest a better way of representing scales. (shrink)

Many philosophers find the prospect of working with researchers in the social and behavioral sciences exciting, in part because they hope that these researchers might be able to measure well-being as the philosopher conceives of it. In this chapter, I consider how the measurement of well- being, as it is conceived of by philosophers, might feasibly be facilitated. I propose that existing scales can be employed to measure well-being as philosophers conceive of it. (...) I support this conclusion through an in-depth discussion of an example. I explain how the scale of psychological well- being developed by Carol Ryff and validated in more than 750 empirical studies (Ryff, 2016, 2018) may be employed to measure the extent to which a person has realized an ostensible basic good. This discussion will be illustrative of the general method that may be employed to bring empirical researchers and philosophers into contact in a way that will facilitate the measurement of well-being as philosophers conceive of it. (shrink)

Worker well-being is a hot topic in organizations, consultancy and academia. However, too often, the buzz about worker well-being, enthusiasm for new programs to promote it and interest to research it, have not been accompanied by universal enthusiasm for scientific measurement. Aim to bridge this gap, we address three questions. To address the question ‘What is worker well-being?’, we explain that worker well-being is a multi-facetted concept and that it can be (...) operationalized in a variety of constructs. We propose a four-dimensional taxonomy of worker well-being constructs to illustrate the concept’s complexity and classify ten constructs within this taxonomy. To answer the question ‘How can worker well-being constructs be measured?’, we present two aspects of measures: measure obtrusiveness (i.e., the extent to which obtaining a measure interferes with workers’ experiences) and measure type (i.e., closed question survey, word, behavioral and physiological). We illustrate the diversity of measures across our taxonomy and uncover some hitherto under-appreciated avenues for measuring worker well-being. Finally, we address the question ‘How should a worker well-being measure be selected?’ by discussing conceptual, methodological, practical and ethical considerations when selecting a measure. We summarize these considerations in a short checklist. It is our hope that with this study researchers – working in organizations, in academia or both – will feel more competent to find effective strategies for the measurement worker well-being and eventually make policies and choices with a better understanding of what drives worker well-being. (shrink)

Subjective measures of well-being—measures based on answers to questions such as ‘Taking things all together, how would you say things are these days—would you say you're very happy, pretty happy, or not too happy these days?’—are often presented as superior to more traditional economic welfare measures, e.g., for public policy purposes. This paper aims to spell out and assess what I will call the argument from directness: the notion that subjective measures of well-being better represent (...) class='Hi'>well-being than economic measures do because subjective measures (and subjective measures alone) are direct measures of well-being. My main thesis is that the argument begs the question against proponents of economic measures: it is based on a premise that they reject and that is no less in need of justification than the conclusion of the argument, namely, the proposition that well-being is constituted by subjectively experienced mental states. If subjective measures can be defended as valid measures of well-being at all, I will maintain, it is because they are (imperfect) indirect measures of well-being. (shrink)

AI/ML increasingly impacts the ability of humans to have a good life. Various sets of indicators exist to measure well-being/the ability to have a good life. Students play an important role in AI/ML discussions. The purpose of our study using an online survey was to learn about the perspectives of undergraduate STEM students on the impact of AI/ML on well-being/the ability to have a good life. Our study revealed that many of the abilities participants perceive to (...) be needed for having a good life were part of the well-being/ability to have a good life indicator lists we gave to participants. Participants perceived AI/ML to have and continue to have the most positive impact on the ability to have a good life for disabled people, elderly people, and individuals with a high income and the least positive impact for people of low income and countries from the global south. Regarding indicators of well-being and the ability to have a good life given to participants, we found a significant techno-positive sentiment. 30% of respondents selected the purely positive box for 28 of the indicators and none did so for the purely negative box. For 52 indicators, the purely negative was below 10% (not counting the 0%) and for 10 indicators, none selected purely negative. Our findings suggest that our questions might be valuable tools to develop an inventory of STEM and other students’ perspectives on the implications of AI/ML on the ability to have a good life. (shrink)

The concept of well-being is increasingly gaining acceptance as an object of science, and many different types of well-being measures have been developed. A debate has emerged about which measures are able to capture well-being successfully. An important underlying problem is that there is no unified conceptual framework about the nature of well-being—a hotly debated topic of philosophical discussion. I argue that while there is little agreement about the nature of well- (...) class='Hi'>being in philosophy, there is an important agreement on some important principles relevant for its measurement. I argue that well-being science has good reasons to accommodate these principles, but currently fails to do so. (shrink)

If the obstacles to human development lie in the paucity of resources, in insuperable technical barriers, the task would be hopeless. We know instead that it is too often a lack of political commitment, not of resources, that is the ultimate cause of human neglect. United Nations, Human Development Report, 1991.

This book addresses a range of relevant theoretical issues, including the possibility of an interpersonally comparable measure of well-being, or “utility” metric; the moral value of equality, and how that bears on the form of the social welfare function; social choice under uncertainty; and the possibility of integrating considerations of individual choice and responsibility into the social-welfare-function framework. This book also deals with issues of implementation, and explores how survey data and other sources of evidence might be used (...) to calibrate both a utility metric and a social welfare function, and whether distributive goals are ever best pursued through regulation rather than the tax system. In working through this range of theoretical and practical issues, the book draws from a wide variety of literatures, including philosophical scholarship on equality, responsibility, the nature of well-being, and personal identity over time; the social choice literature within economics; applied economic literatures concerning the measurement of inequality and poverty; legal and policy-analysis scholarship on cost-benefit analysis, environmental justice, and the choice between regulation and taxation; and the burgeoning field of “happiness studies”. (shrink)

This book details how quantification can serve both as evidence and as an instrument of government, whether when dealing with statistics on employment, occupational health and economic governance, or when developing public management or target-driven policies. In the process, it presents a thought-provoking homage to Alain Desrosières, who pioneered ways to study large numbers and the politics underlying them. It opens with a summary of Desrosières's contributions to the field in which several generations of researchers detail how this statistician and (...) historian profoundly influenced them. This tribute, based on personal testimonies, bears witness to the vitality of the school of thought and analytical framework Desrosières initiated. Next, a collection of essays explores the statistical argument in the neoliberal era, examining issues such as counting the homeless in Europe, measuring the performance of public services, and quantifying the effects of public action on the unemployed in France. The third part details the uses of quantification. It reveals that although statistics are frequently used to the advantage of those in power, they can also play a vital role in challenging and resisting both the conventions underlying the measurements as well as the measurements themselves.Featuring the work of economists, historians, political scientists, sociologists, and statisticians, this title provides readers with a thoughtful look at an influential figure in the history of statistics. It also shows how statistics are used to direct public policy, the degree of conflict that is possible in their production, and the disputes that can develop around their uses. (shrink)

In Human Well-Being and the Natural Environment, Partha Dasgupta explores ways to measure the quality of life. In developing quality-of-life indices, he pays particular attention to the natural environment, illustrating how it can be incorporated, more generally, into economic reasoning in a seamless manner. Professor Dasgupta puts the theory that he develops to use in extended commentaries on the economics of population, poverty traps, global warming, structural adjustment programmes, and free trade, particularly in relation to poor countries. The (...) result is a treatise that goes beyond quality-of-life measures and offers a comprehensive account of the newly emergent subject of ecological economics. (shrink)

Two studies were performed to test the relationship between readiness for self-improvement and selected measures of well-being. The first study investigated whether readiness for self-improvement is related to the selected measures of overall subjective well-being. The second one investigated in what way readiness for self-improvement is related to subjective well-being at workplace. The results obtained in both cases showed that readiness for self-improvement is indeed related to and does account for well-being. In (...) the first study, readiness for self-improvement accounted for overall life satisfaction within important human life domains and satisfaction with the present and future life. In the second study, work engagement, was significantly linked to readiness to improve oneself but was not with readiness to take care of one’s health. (shrink)

Well–being, health and freedom are some of the many phenomena of interest to science whose definitions rely on a normative standard. Empirical generalizations about them thus present a special case of value-ladenness. I propose the notion of a ‘mixed claim’ to denote such generalizations. Against the prevailing wisdom, I argue that we should not seek to eliminate them from science. Rather, we need to develop principles for their legitimate use. Philosophers of science have already reconciled values with objectivity (...) in several ways, but none of the existing proposals are suitable for mixed claims. Using the example of the science of well-being, I articulate a conception of objectivity for this science and for mixed claims in general. _1_ Introduction _2_ What Are Mixed Claims? _3_ Mixed Claims Are Different _3.1_ Values as reasons to pursue science _3.2_ Values as agenda-setters _3.3_ Values as ethical constraints on research protocols _3.4_ Values as arbiters between underdetermined theories _3.5_ Values as determinants of standards of confirmation _3.6_ Values as sources of wishful thinking and fraud _4_ Mixed Claims Should Stay _4.1_ Against Nagel _5_ The Dangers of Mixed Claims _6_ The Existing Accounts of Objectivity _6.1_ The perils of impartiality _7_ Objectivity for Mixed Claims _8_ Three Rules _8.1_ Unearth the value presuppositions in methods and measures _8.2_ Check if value presuppositions are invariant to disagreements _8.3_ Consult the relevant parties _9_ Conclusion. (shrink)

This paper examines the notion of “subjective well-being” as it is used in literature on subjective measures of well-being. I argue that those who employ the notion differ at least superficially on at least two points: first, about the relationship between subjective well-being and well-being simpliciter, and second, about the constituents of subjective well-being. In an effort to reconcile the differences, I propose an interpretation according to which subjective measures presuppose (...) preference hedonism: an account according to which well-being is a matter of desired mental states. (shrink)

The objective of this study was to create and validate an instrument to measure the wellbeing of children in lockdown. As a response to the COVID-19 pandemic, and in the interest of maintaining social distancing, millions of people have been confined to their homes, including children, who have been withdrawn from school and barely able to leave their homes. Thus, it would be useful to evaluate, from a holistic perspective, the well-being of children under these challenging circumstances. The (...) participants were 1046 children 48.7% of which were boys and 50.7% girls, recruited in the Basque Country (Northern Spain). The survey, entitled, 'Well-being of Children in Lockdown" (WCL) is composed of six sub-scales: Emotions, Playful and creative activities, Education, Addictions, Routine, and Physical Activity. Exploratory factor analyses indicate that all the reliability indices were acceptable. The survey demonstrated adequate reliability (alpha=.804). We were thus able to confirm the validity of this simple instrument for evaluating the well-being of children aged between 4 and 12 years in lockdown situations.2. (shrink)

This article is a mutual introduction of the science of well-being to philosophy of science and an explanation of how the two disciplines can benefit each other. In the process, I argue that the science of well-being is not helpfully viewed as a social or a natural, but rather as a mixed, science. Hence, its methodology will have to attend to its specific features. I discuss two of its methodological problems: justifying the role of values, and (...) validating measures. I suggest that tackling them calls for developing mid-level rather than high theories of well-being. (shrink)

Philosophers of well-being have tended to adopt a foundationalist approach to the question of theory and measurement, according to which theories are conceptually before measures. By contrast, social scientists have tended to adopt operationalist commitments, according to which they develop and refine well-being measures independently of any philosophical foundation. Unfortunately, neither approach helps us overcome the problem of coordinating between how we characterize well-being and how we measure it. Instead, we should adopt a (...) coherentist approach to well-being science. (shrink)

The concept of well-being plays a central role in moral and political theory. Policies and actions are justified or criticized on the grounds that they make people better or worse off. But is there really such a thing as well-being, and if so, what is it? Is it pleasure, desire-satisfaction, knowledge, virtue, achievement, some combination of these, or something else entirely? How can we measure well-being, amongst individuals and society? And how can we use (...) it to make moral judgements about people, policies and institutions? In this entertaining and accessible new book, Ben Bradley guides readers through the various philosophical theories of well-being, such as hedonism, perfectionism and pluralism, showing the benefits and drawbacks of each theory. He explores the role of well-being in moral and political theory, and the limitations of welfare-based approaches to ethics such as utilitarianism and welfare egalitarianism. Finally, he introduces puzzles about well-being that arise in moral and prudential deliberations about procreation and death. Well-Being is an ideal introduction to these topics for those with no philosophical background, or for philosophers looking for an overview of current thinking about the subject. (shrink)

Do the new sciences of well-being provide knowledge that respects the nature of well-being? This book written from the perspective of philosophy of science articulates how this field can speak to well-being proper and can do so in a way that respects the demands of objectivity and measurement.

In Human Well-Being and the Natural Environment, Partha Dasgupta explores ways to measure the quality of life. In developing quality-of-life indices, he pays particular attention to the natural environment, illustrating how it can be incorporated, more generally, into economic reasoning in a seamless manner. Professor Dasgupta puts the theory that he develops to use in extended commentaries on the economics of population, poverty traps, global warming, structural adjustment programmes, and free trade, particularly in relation to poor countries. The (...) result is a treatise that goes beyond quality-of-life measures and offers a comprehensive account of the newly emergent subject of ecological economics.With the publication of this new paperback edition, Professor Dasgupta has taken the opportunity to update and revise his text in a number of ways, including developments to facilitate its current use on a number of gradate courses in environmental and resource economics. The treatment of the welfare economics of imperfect economies has been developed using new findings, and the Appendix has been expanded to include applications of the theory to a number of institutions, and to develop approximate formulae for estimating the value of environmental natural resources. (shrink)

On the basis of careful textual exegesis and philosophical analysis, and contrary to the received view, Mark R. Wheeler demonstrates that Aristotle presents and systematically explicates his definition of the essence of the truth in the Metaphysics. Aristotle states the nominal definitions of the terms "truth" and "falsehood" as part of his arguments in defense of the logical axioms. These nominal definitions express conceptions of truth and falsehood his philosophical opponents would have recognized and accepted in the context of dialectical (...) argument. On the basis of these nominal definitions, Aristotle develops his definitions of the essences of truth and falsehood--his "real" definitions of truth and falsehood. Aristotle's methodical exposition of his essential definitions of truth and falsehood in the Metaphysics serves as a well-developed example of how his philosophical inquiry starts with nominal definitions and ends with real definitions. Wheeler also argues for the novel claim that Aristotle defines the most fundamental kind of truth in terms of accurate measurement. Aristotle's metrical conception of truth serves as the theoretical basis for specifying the truth conditions of various assertions, for identifying the sorts of beings implicated in these truth conditions, and for explaining the nature of approximate truth and falsehood. Far from offering us a minimal account of truth, Wheeler shows how Aristotle offers us a sophisticated and metrical theory of truth. (shrink)

Is well-being the kind of thing that can be summed across individuals? This paper takes a measurement-theoretic approach to answering this question. To make sense of adding well-being, we would need to identify some natural "concatenation" operation on the bearers of well-being that satisfies the axioms of extensive measurement and can therefore be represented by the arithmetic operation of addition. I explore various proposals along these lines, involving the concatenation of segments within (...) lives over time, of entire lives led alongside one another or in sequence, and of evaluatively basic propositions via conjunction. All of these proposals turn out to carry highly controversial commitments about the good. I do not claim that these commitments are unacceptable. But they suggest that we cannot simply take for granted, as many philosophers do, that there is any such thing as the sum of well-being. (shrink)

This paper aims to investigate the relationship between Italian teachers’ well-being, socio-demographic characteristics and professional background. Using data from the 2015 wave of the Program for International Student Assessment (PISA) we considered information collected by the questionnaire completed by a total of 6,491 teachers in the sampled schools. Moving from existing literature on teachers’ well-being, we investigate several aspects related to the teachers’ working environment, career motivation and investment, and job satisfaction. We assess the variability in (...) the observed outcomes attributable to school factors and heterogeneity between disciplines. Measurement models are combined in a multilevel setting in order to define teachers’ well-being on a broad perspective while accounting for the multiple sources of heterogeneity due to several factors (e.g., discipline, teacher professional background, and individual differences) occurring at different levels of the data structure. In general, results show that the teachers’ positive perception of the working environment in terms of availability of adequate human and physical resources, and professional development opportunities, provide a substantial state of well-being at work, and are related to teachers’ job satisfaction. Moreover, results highlight the key role of transformational leadership in defining a teacher’s well-being. Findings and implications are discussed. (shrink)