The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives (Economics, Cognition & Society)

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9780472050079: The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives (Economics, Cognition & Society)

Book by Stephen T Ziliak Deirdre N McCloskey

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Reseña del editor:

"Statistical significance," a technique that dominates medicine, economics, psychology, and many other scientific fields, has been a huge mistake. The outcome is a case study in bad science - how it originates and how it grows. These sciences, from agronomy to zoology, the authors find, engage "testing" that doesn't test and "estimating" that doesn't estimate. Heedless of magnitude and of a genuine engagement with alternative hypotheses, they "testimate." "Null hypothesis significance testing" is in other words a scientific train-wreck, about which a small group of statisticians have been warning for a century.Ziliak and McCloskey's book shows field by field how the wreck happened, reports on the fatalities, and offers a quantitative way forward. The facts will startle the outside reader: how could a group of brilliant scientists wander so far away from scientific magnitudes? And it will inspirit the scientists who seek conscious interpretations of "oomph" rather than arbitrary columns of t-tests: how can the statistical sciences get back on track, and fulfill their quantitative promise?Ziliak and McCloskey measure the disaster in their home field of economics, and in psychology, epidemiology, and medical science. They touch as well on law, biology, psychiatry, pharmacology, sociology, political science, education, forensics, and other fields in the grip of "significance." This 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. Many statisticians have complained about it before, but have complained science-by-science.

Biografía del autor:

Stephen Ziliak is the author or editor of many articles and three books, two with Deirdre McCloskey, and a third with McCloskey and Arjo Klamer. He has held faculty positions at a number of universities, including Emory University and the Georgia Institute of Technology. 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 20 books and 300 scholarly articles. She has held Guggenheim and National Humanities Fellowships. She is best known for The Rhetoric of Economics (1985, 2nd ed. 1998), 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).

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McCloskey, Deirdre Nansen
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ISBN 10: 0472050079 ISBN 13: 9780472050079
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Descripción Univ Michigan Press. Estado de conservación: BRAND NEW. BRAND NEW Softcover A Brand New Quality Book from a Full-Time Bookshop in business since 1992!. Nº de ref. de la librería 2261200

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Stephen Thomas Ziliak, Deirdre McCloskey
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Descripción The University of Michigan Press, United States, 2008. Paperback. Estado de conservación: New. 229 x 150 mm. Language: English . Brand New Book. Statistical significance, a technique that dominates medicine, economics, psychology, and many other scientific fields, has been a huge mistake. The outcome is a case study in bad science - how it originates and how it grows. These sciences, from agronomy to zoology, the authors find, engage testing that doesn t test and estimating that doesn t estimate. Heedless of magnitude and of a genuine engagement with alternative hypotheses, they testimate. Null hypothesis significance testing is in other words a scientific train-wreck, about which a small group of statisticians have been warning for a century.Ziliak and McCloskey s book shows field by field how the wreck happened, reports on the fatalities, and offers a quantitative way forward. The facts will startle the outside reader: how could a group of brilliant scientists wander so far away from scientific magnitudes? And it will inspirit the scientists who seek conscious interpretations of oomph rather than arbitrary columns of t-tests: how can the statistical sciences get back on track, and fulfill their quantitative promise?Ziliak and McCloskey measure the disaster in their home field of economics, and in psychology, epidemiology, and medical science.They touch as well on law, biology, psychiatry, pharmacology, sociology, political science, education, forensics, and other fields in the grip of significance. This 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. Many statisticians have complained about it before, but have complained science-by-science. Nº de ref. de la librería AAC9780472050079

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Ziliak, Stephen T.; McCloskey, Deirdre N.
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Descripción University of Michigan Press, U.S.A., 2008. Soft Cover. Estado de conservación: New. 0472050079 New. The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives (Economics, Cognition, and Society) By Stephen T. Ziliak (Author), Deirdre N. McCloskey (Author) Product Details Series: Economics, Cognition, and Society Paperback: 352 pages Publisher: University of Michigan Press; 1st edition (February 19, 2008) Language: English ISBN-10: 0472050079 ISBN-13: Product Dimensions: 6 x 1 x 9 inches. Nº de ref. de la librería Z0472050079ZN

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Stephen Thomas Ziliak, Deirdre McCloskey
Editorial: The University of Michigan Press, United States (2008)
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Descripción The University of Michigan Press, United States, 2008. Paperback. Estado de conservación: New. 229 x 150 mm. Language: English . Brand New Book. Statistical significance, a technique that dominates medicine, economics, psychology, and many other scientific fields, has been a huge mistake. The outcome is a case study in bad science - how it originates and how it grows. These sciences, from agronomy to zoology, the authors find, engage testing that doesn t test and estimating that doesn t estimate. Heedless of magnitude and of a genuine engagement with alternative hypotheses, they testimate. Null hypothesis significance testing is in other words a scientific train-wreck, about which a small group of statisticians have been warning for a century.Ziliak and McCloskey s book shows field by field how the wreck happened, reports on the fatalities, and offers a quantitative way forward. The facts will startle the outside reader: how could a group of brilliant scientists wander so far away from scientific magnitudes? And it will inspirit the scientists who seek conscious interpretations of oomph rather than arbitrary columns of t-tests: how can the statistical sciences get back on track, and fulfill their quantitative promise?Ziliak and McCloskey measure the disaster in their home field of economics, and in psychology, epidemiology, and medical science.They touch as well on law, biology, psychiatry, pharmacology, sociology, political science, education, forensics, and other fields in the grip of significance. This 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. Many statisticians have complained about it before, but have complained science-by-science. Nº de ref. de la librería AAC9780472050079

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Stephen Thomas Ziliak, Deirdre McCloskey
Editorial: The University of Michigan Press, United States (2008)
ISBN 10: 0472050079 ISBN 13: 9780472050079
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Descripción The University of Michigan Press, United States, 2008. Paperback. Estado de conservación: New. 229 x 150 mm. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Statistical significance, a technique that dominates medicine, economics, psychology, and many other scientific fields, has been a huge mistake. The outcome is a case study in bad science - how it originates and how it grows. These sciences, from agronomy to zoology, the authors find, engage testing that doesn t test and estimating that doesn t estimate. Heedless of magnitude and of a genuine engagement with alternative hypotheses, they testimate. Null hypothesis significance testing is in other words a scientific train-wreck, about which a small group of statisticians have been warning for a century.Ziliak and McCloskey s book shows field by field how the wreck happened, reports on the fatalities, and offers a quantitative way forward. The facts will startle the outside reader: how could a group of brilliant scientists wander so far away from scientific magnitudes? And it will inspirit the scientists who seek conscious interpretations of oomph rather than arbitrary columns of t-tests: how can the statistical sciences get back on track, and fulfill their quantitative promise?Ziliak and McCloskey measure the disaster in their home field of economics, and in psychology, epidemiology, and medical science.They touch as well on law, biology, psychiatry, pharmacology, sociology, political science, education, forensics, and other fields in the grip of significance. This 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. Many statisticians have complained about it before, but have complained science-by-science. Nº de ref. de la librería BTE9780472050079

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Stephen T. Ziliak; Deirdre N. McCloskey
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Descripción University of Michigan Press, 2008. Paperback. Estado de conservación: New. book. Nº de ref. de la librería 0472050079

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Stephen Thomas Ziliak
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Descripción The University of Michigan Press, 2008. PAP. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería CE-9780472050079

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