Author: Deirdre Nansen McCloskey Publisher: University of Michigan Press ISBN: 9780472050079 Category : Business & Economics Languages : en Pages : 356
Book Description
“McCloskey and Ziliak have been pushing this very elementary, very correct, very important argument through several articles over several years and for reasons I cannot fathom it is still resisted. If it takes a book to get it across, I hope this book will do it. It ought to.” —Thomas Schelling, Distinguished University Professor, School of Public Policy, University of Maryland, and 2005 Nobel Prize Laureate in Economics “With humor, insight, piercing logic and a nod to history, Ziliak and McCloskey show how economists—and other scientists—suffer from a mass delusion about statistical analysis. The quest for statistical significance that pervades science today is a deeply flawed substitute for thoughtful analysis. . . . Yet few participants in the scientific bureaucracy have been willing to admit what Ziliak and McCloskey make clear: the emperor has no clothes.” —Kenneth Rothman, Professor of Epidemiology, Boston University School of Health The Cult of Statistical Significance shows, field by field, how “statistical significance,” a technique that dominates many sciences, has been a huge mistake. The authors find that researchers in a broad spectrum of fields, from agronomy to zoology, employ “testing” that doesn’t test and “estimating” that doesn’t estimate. The facts will startle the outside reader: how could a group of brilliant scientists wander so far from scientific magnitudes? This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. The book shows for the first time how wide the disaster is, and how bad for science, and it traces the problem to its historical, sociological, and philosophical roots. Stephen T. Ziliak is the author or editor of many articles and two books. He currently lives in Chicago, where he is Professor of Economics at Roosevelt University. Deirdre N. McCloskey, Distinguished Professor of Economics, History, English, and Communication at the University of Illinois at Chicago, is the author of twenty books and three hundred scholarly articles. She has held Guggenheim and National Humanities Fellowships. She is best known for How to Be Human* Though an Economist (University of Michigan Press, 2000) and her most recent book, The Bourgeois Virtues: Ethics for an Age of Commerce (2006).
Author: Deirdre N. McCloskey Publisher: University of Chicago Press ISBN: 9780226556703 Category : Business & Economics Languages : en Pages : 208
Book Description
In this witty, accessible, and revealing book, Deirdre McCloskey demystifies economic theory and practice to show that behind the economists claim to certainty is the ancient art of storytelling. If You're So Smart will engage, enlighten, and empower anyone trying to evaluate the experts who stand ready to engineer our lives. "Writing with delicious wit and great seriousness."—Publishers Weekly. " "McCloskey is more interesting on an uninspired day than most of her peers can manage at their very best."—Peter Passell, New York Times
Author: William Briggs Publisher: Springer ISBN: 3319397567 Category : Mathematics Languages : en Pages : 274
Book Description
This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book devoted to the philosophy of data aimed at working scientists and calls for a new consideration in the practice of probability and statistics to eliminate what has been referred to as the "Cult of Statistical Significance." The book explains the philosophy of these ideas and not the mathematics, though there are a handful of mathematical examples. The topics are logically laid out, starting with basic philosophy as related to probability, statistics, and science, and stepping through the key probabilistic ideas and concepts, and ending with statistical models. Its jargon-free approach asserts that standard methods, such as out-of-the-box regression, cannot help in discovering cause. This new way of looking at uncertainty ties together disparate fields — probability, physics, biology, the “soft” sciences, computer science — because each aims at discovering cause (of effects). It broadens the understanding beyond frequentist and Bayesian methods to propose a Third Way of modeling.
Author: Tomas Sedlacek Publisher: Oxford University Press ISBN: 0199831904 Category : Business & Economics Languages : en Pages : 366
Book Description
Tomas Sedlacek has shaken the study of economics as few ever have. Named one of the "Young Guns" and one of the "five hot minds in economics" by the Yale Economic Review, he serves on the National Economic Council in Prague, where his provocative writing has achieved bestseller status. How has he done it? By arguing a simple, almost heretical proposition: economics is ultimately about good and evil. In The Economics of Good and Evil, Sedlacek radically rethinks his field, challenging our assumptions about the world. Economics is touted as a science, a value-free mathematical inquiry, he writes, but it's actually a cultural phenomenon, a product of our civilization. It began within philosophy--Adam Smith himself not only wrote The Wealth of Nations, but also The Theory of Moral Sentiments--and economics, as Sedlacek shows, is woven out of history, myth, religion, and ethics. "Even the most sophisticated mathematical model," Sedlacek writes, "is, de facto, a story, a parable, our effort to (rationally) grasp the world around us." Economics not only describes the world, but establishes normative standards, identifying ideal conditions. Science, he claims, is a system of beliefs to which we are committed. To grasp the beliefs underlying economics, he breaks out of the field's confines with a tour de force exploration of economic thinking, broadly defined, over the millennia. He ranges from the epic of Gilgamesh and the Old Testament to the emergence of Christianity, from Descartes and Adam Smith to the consumerism in Fight Club. Throughout, he asks searching meta-economic questions: What is the meaning and the point of economics? Can we do ethically all that we can do technically? Does it pay to be good? Placing the wisdom of philosophers and poets over strict mathematical models of human behavior, Sedlacek's groundbreaking work promises to change the way we calculate economic value.
Author: Deirdre Nansen McCloskey Publisher: University of Michigan Press ISBN: 0472026100 Category : Business & Economics Languages : en Pages : 349
Book Description
“McCloskey and Ziliak have been pushing this very elementary, very correct, very important argument through several articles over several years and for reasons I cannot fathom it is still resisted. If it takes a book to get it across, I hope this book will do it. It ought to.” —Thomas Schelling, Distinguished University Professor, School of Public Policy, University of Maryland, and 2005 Nobel Prize Laureate in Economics “With humor, insight, piercing logic and a nod to history, Ziliak and McCloskey show how economists—and other scientists—suffer from a mass delusion about statistical analysis. The quest for statistical significance that pervades science today is a deeply flawed substitute for thoughtful analysis. . . . Yet few participants in the scientific bureaucracy have been willing to admit what Ziliak and McCloskey make clear: the emperor has no clothes.” —Kenneth Rothman, Professor of Epidemiology, Boston University School of Health The Cult of Statistical Significance shows, field by field, how “statistical significance,” a technique that dominates many sciences, has been a huge mistake. The authors find that researchers in a broad spectrum of fields, from agronomy to zoology, employ “testing” that doesn’t test and “estimating” that doesn’t estimate. The facts will startle the outside reader: how could a group of brilliant scientists wander so far from scientific magnitudes? This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. The book shows for the first time how wide the disaster is, and how bad for science, and it traces the problem to its historical, sociological, and philosophical roots. Stephen T. Ziliak is the author or editor of many articles and two books. He currently lives in Chicago, where he is Professor of Economics at Roosevelt University. Deirdre N. McCloskey, Distinguished Professor of Economics, History, English, and Communication at the University of Illinois at Chicago, is the author of twenty books and three hundred scholarly articles. She has held Guggenheim and National Humanities Fellowships. She is best known for How to Be Human* Though an Economist (University of Michigan Press, 2000) and her most recent book, The Bourgeois Virtues: Ethics for an Age of Commerce (2006).
Author: Aris Spanos Publisher: Cambridge University Press ISBN: 1107185149 Category : Business & Economics Languages : en Pages : 787
Book Description
This empirical research methods course enables informed implementation of statistical procedures, giving rise to trustworthy evidence.
Author: Geoff Cumming Publisher: Routledge ISBN: 1136659188 Category : Psychology Languages : en Pages : 549
Book Description
This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines. Accompanying the book is the Exploratory Software for Confidence Intervals (ESCI) package, free software that runs under Excel and is accessible at www.thenewstatistics.com. The book’s exercises use ESCI's simulations, which are highly visual and interactive, to engage users and encourage exploration. Working with the simulations strengthens understanding of key statistical ideas. There are also many examples, and detailed guidance to show readers how to analyze their own data using the new statistics, and practical strategies for interpreting the results. A particular strength of the book is its explanation of meta-analysis, using simple diagrams and examples. Understanding meta-analysis is increasingly important, even at undergraduate levels, because medicine, psychology and many other disciplines now use meta-analysis to assemble the evidence needed for evidence-based practice. The book’s pedagogical program, built on cognitive science principles, reinforces learning: Boxes provide "evidence-based" advice on the most effective statistical techniques. Numerous examples reinforce learning, and show that many disciplines are using the new statistics. Graphs are tied in with ESCI to make important concepts vividly clear and memorable. Opening overviews and end of chapter take-home messages summarize key points. Exercises encourage exploration, deep understanding, and practical applications. This highly accessible book is intended as the core text for any course that emphasizes the new statistics, or as a supplementary text for graduate and/or advanced undergraduate courses in statistics and research methods in departments of psychology, education, human development , nursing, and natural, social, and life sciences. Researchers and practitioners interested in understanding the new statistics, and future published research, will also appreciate this book. A basic familiarity with introductory statistics is assumed.
Author: Deirdre N. McCloskey Publisher: ISBN: Category : Economics Languages : en Pages : 76
Book Description
Deidre N. McCloskey's work in economics calls into question its reputation as "the dismal science". She writes with passion and an unusually wide scope, drawing on literature and intellectual history in exciting, if unorthodox, ways. In this pamphlet, McCloskey reveals what she sees as the secret sins of economics that no one will discuss - two sins that "cripple" economics as a "scientific enterprise."
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Author: Stephen Thomas Ziliak
Author: Deirdre Nansen McCloskey
Author: Deirdre N. McCloskey
Author: Deirdre N. McCloskey
Author: William Briggs
Author: Tomas Sedlacek
Author: Deirdre Nansen McCloskey
Author: Aris Spanos
Author: Geoff Cumming
Author: Deirdre N. McCloskey