Measuring What Counts

A bold agenda for a better way to assess societal well-being, by three of the world's leading economists and statisticians "If we want to put people first, we have to know what matters to them, what improves their well-being, and how we can supply more of whatever that is." —Joseph E. Stiglitz In 2009, a group of economists led by Nobel laureate Joseph E. Stiglitz, French economist Jean-Paul Fitoussi, and Nobel laureate Amartya Sen issued a report challenging gross domestic product (GDP) as a measure of progress and well-being. Published as Mismeasuring Our Lives by The New Press, the book sparked a global conversation about GDP and a major movement among scholars, policy makers, and activists to change the way we measure our economies. Now, in Measuring What Counts, Stiglitz, Fitoussi, and Martine Durand—summarizing the deliberations of a panel of experts on the measurement of economic performance and social progress hosted at the OECD, the international organization incorporating the most economically advanced countries—propose a new, "beyond GDP" agenda. This book provides an accessible overview of the last decade's global movement, sparked by the original critique of GDP, and proposes a new "dashboard" of metrics to assess a society's health, including measures of inequality and economic vulnerability, whether growth is environmentally sustainable, and how people feel about their lives. Essential reading for our time, it also serves as a guide for policy makers and others on how to use these new tools to fundamentally change the way we measure our lives—and to plot a radically new path forward.

Measuring What Counts: A Policy Brief provides highlights of the main volume in the context of implications for educational policy.

Metrics matter for policy and policy matters for well-being. In this report, the co-chairs of the OECD-hosted High Level Expert Group on the Measurement of Economic Performance and Social Progress, Joseph E. Stiglitz, Jean-Paul Fitoussi and Martine Durand, show how over-reliance on GDP as the ...

In February of 2008, amid the looming global financial crisis, President Nicolas Sarkozy of France asked Nobel Prize-winning economists Joseph Stiglitz and Amartya Sen, along with the distinguished French economist Jean Paul Fitoussi, to establish a commission of leading economists to study whether Gross Domestic Product (GDP) - the most widely used measure of economic activity - is a reliable indicator of economic and social progress. The Commission was given the further task of laying out an agenda for developing better measures. Mismeasuring Our Lives is the result of this major intellectual effort, one with pressing relevance for anyone engaged in assessing how and whether our economy is serving the needs of our society. The authors offer a sweeping assessment of the limits of GDP as a measurement of the well-being of societies - considering, for example, how GDP overlooks economic inequality (with the result that most people can be worse off even though average income is increasing); and does not factor environmental impacts into economic decisions.In place of GDP, Mismeasuring Our Lives introduces a bold new array of concepts, from sustainable measures of economic welfare, to measures of savings and wealth, to a ''green GDP.'' At a time when policymakers worldwide are grappling with unprecedented global financial and environmental issues, here is an essential guide to measuring the things that matter.

Policy makers, academic administrators, scholars, and members of the public are clamoring for indicators of the value and reach of research. The question of how to quantify the impact and importance of research and scholarly output, from the publication of books and journal articles to the indexing of citations and tweets, is a critical one in predicting innovation, and in deciding what sorts of research is supported and whom is hired to carry it out. There is a wide set of data and tools available for measuring research, but they are often used in crude ways, and each have their own limitations and internal logics. Measuring Research: What Everyone Needs to Know(R) will provide, for the first time, an accessible account of the methods used to gather and analyze data on research output and impact. Following a brief history of scholarly communication and its measurement -- from traditional peer review to crowdsourced review on the social web -- the book will look at the classification of knowledge and academic disciplines, the differences between citations and references, the role of peer review, national research evaluation exercises, the tools used to measure research, the many different types of measurement indicators, and how to measure interdisciplinarity. The book also addresses emerging issues within scholarly communication, including whether or not measurement promotes a "publish or perish" culture, fraud in research, or "citation cartels." It will also look at the stakeholders behind these analytical tools, the adverse effects of these quantifications, and the future of research measurement.

Measuring the User Experience was the first book that focused on how to quantify the user experience. Now in the second edition, the authors include new material on how recent technologies have made it easier and more effective to collect a broader range of data about the user experience. As more UX and web professionals need to justify their design decisions with solid, reliable data, Measuring the User Experience provides the quantitative analysis training that these professionals need. The second edition presents new metrics such as emotional engagement, personas, keystroke analysis, and net promoter score. It also examines how new technologies coming from neuro-marketing and online market research can refine user experience measurement, helping usability and user experience practitioners make business cases to stakeholders. The book also contains new research and updated examples, including tips on writing online survey questions, six new case studies, and examples using the most recent version of Excel. Learn which metrics to select for every case, including behavioral, physiological, emotional, aesthetic, gestural, verbal, and physical, as well as more specialized metrics such as eye-tracking and clickstream data Find a vendor-neutral examination of how to measure the user experience with web sites, digital products, and virtually any other type of product or system Discover in-depth global case studies showing how organizations have successfully used metrics and the information they revealed Companion site, www.measuringux.com, includes articles, tools, spreadsheets, presentations, and other resources to help you effectively measure the user experience

To achieve national goals for education, we must measure the things that really count. Measuring What Counts establishes crucial research- based connections between standards and assessment. Arguing for a better balance between educational and measurement concerns in the development and use of mathematics assessment, this book sets forth three principlesâ€"related to content, learning, and equityâ€"that can form the basis for new assessments that support emerging national standards in mathematics education.