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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 a

Economics --- -Statistics --- -Statistical hypothesis testing --- -31.001 --- 311 --- 330.015195 --- 311 Statistische methoden --- Statistische methoden --- 31.001 Functie, taak en doelstelling van de statistiek --- Functie, taak en doelstelling van de statistiek --- Hypothesis testing (Statistics) --- Significance testing (Statistics) --- Statistical significance testing --- Testing statistical hypotheses --- Distribution (Probability theory) --- Hypothesis --- Mathematical statistics --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Economic theory --- Political economy --- Social sciences --- Economic man --- Social aspects --- Statistischer Test. --- Statistische Methodenlehre. --- -330.015195 --- Statistical hypothesis testing --- Statistics --- 31.001 --- Economic statistics --- Statistical methods. --- Social aspects. --- Kritik. --- Theorie. --- Economics -- Statistical methods. --- Statistical hypothesis testing -- Social aspects. --- Statistics -- Social aspects. --- Economic Theory --- Business & Economics --- Statistical analysis. --- Economics. --- Economics - Statistical methods --- Statistics - Social aspects --- Statistical hypothesis testing - Social aspects --- Statistics.