The nature of well-being is one of the most enduring and elusive subjects of human inquiry. Well-Being draws upon the latest scientific research to transform our understanding of this ancient question. With contributions from leading authorities in psychology, social psychology, and neuroscience, this volume presents the definitive account of current scientific efforts to understand human pleasure and pain, contentment and despair. The distinguished contributors to this volume combine a rigorous analysis of human sensations, emotions, and moods with a broad assessment (...) of the many factors, from heredity to nationality, that bear on our well-being. Using the tools of experimental science, the contributors confront the puzzles of human likes and dislikes. Why do we grow accustomed and desensitized to changes in our lives, both good and bad? Does our happiness reflect the circumstances of our lives or is it determined by our temperament and personality? Why do humans acquire tastes for sensations that are initially painful or unpleasant? By examining the roots of our everyday likes and dislikes, the book also sheds light on some of the more extreme examples of attraction and aversion, such as addiction and depression. Among its wide ranging inquiries, Well-Being examines systematic differences in moods and behaviors between genders, explaining why women suffer higher rates of depression and anxiety than men, but are also more inclined to express positive emotions. The book also makes international comparisons, finding that some countries' populations report higher levels of happiness than others. The contributors deploy an array of methods, from the surveys and questionnaires of social science to psychological and physiological experiments, to develop a comprehensive new approach to the study of well-being. They show how the sensory pleasures of the body can tells us something about the higher pleasures of the mind and even how the effectiveness of our immune system can depend upon the health of our social relationships. (shrink)

This book draws together the latest work from scholars around the world using subjective well-being data to understand and compare well-being across countries and cultures. Starting from many different vantage points, the authors reached a consensus that many measures of subjective well-being, ranging from life evaluations through emotional states, based on memories and current evaluations, merit broader collection and analysis. Using data from the Gallup World Poll, the World Values Survey, and other internationally comparable surveys, the authors document wide divergences (...) among countries in all measures of subjective well-being, The international differences are greater for life evaluations than for emotions. Despite the well-documented differences in the ways in which subjective evaluations change through time and across cultures, the bulk of the very large international differences in life evaluations are due to differences in life circumstances rather than differences in the way these differences are evaluated. (shrink)

Book reviewed in this article: Ethics in Social and Behavioral Research. By Edward Diener and Rick Crandall The Ethics of Social Intervention. Gordon Bermant, Herbert C. Kelman, Donald P. Warwick.

It is often claimed that only experiments can support strong causal inferences and therefore they should be privileged in the behavioral sciences. We disagree. Overvaluing experiments results in their overuse both by researchers and decision-makers, and in an underappreciation of their shortcomings. Neglecting other methods often follows. Experiments can suggest whether X causes Y in a specific experimental setting; however, they often fail to elucidate either the mechanisms responsible for an effect, or the strength of an effect in everyday natural (...) settings. In this paper, we consider two overarching issues. First, experiments have important limitations. We highlight problems with: external, construct, statistical conclusion, and internal validity; replicability; and with conceptual issues associated with simple X-causes-Y thinking. Second, quasi-experimental and non-experimental methods are absolutely essential. As well as themselves estimating causal effects, these other methods can provide information and understanding that goes beyond that provided by experiments. A research program progresses best when experiments are not treated as privileged but instead are combined with these other methods. (shrink)

This article describes some potential uses of Bayesian estimation for time-series and panel data models by incorporating information from prior probabilities in addition to observed data. Drawing on econometrics and other literatures we illustrate the use of informative “shrinkage” or “small variance” priors while extending prior work on the general cross-lagged panel model. Using a panel dataset of national income and subjective well-being we describe three key benefits of these priors. First, they shrink parameter estimates toward zero or toward each (...) other for time-varying parameters, which lends additional support for an income → SWB effect that is not supported with maximum likelihood. This is useful because, second, these priors increase model parsimony and the stability of estimates and thus improve out-of-sample predictions and interpretability, which means estimated effect should also be more trustworthy than under ML. Third, these priors allow estimating otherwise under-identified models under ML, allowing higher-order lagged effects and time-varying parameters that are otherwise impossible to estimate using observed data alone. In conclusion we note some of the responsibilities that come with the use of priors which, departing from typical commentaries on their scientific applications, we describe as involving reflection on how best to apply modeling tools to address matters of worldly concern. (shrink)