Last edited by Gugami
Sunday, May 17, 2020 | History

6 edition of The Cult of Statistical Significance found in the catalog.

The Cult of Statistical Significance

How the Standard Error Costs Us Jobs, Justice, and Lives (Economics, Cognition, and Society)

by Deirdre Nansen McCloskey

  • 69 Want to read
  • 2 Currently reading

Published by University of Michigan Press .
Written in English

    Subjects:
  • Probability & statistics,
  • Research methods: general,
  • Political Science,
  • Business / Economics / Finance,
  • Politics/International Relations,
  • Econometrics,
  • History & Theory - General,
  • Probability & Statistics - General,
  • Political Science / History & Theory,
  • Economics - Theory

  • The Physical Object
    FormatHardcover
    Number of Pages352
    ID Numbers
    Open LibraryOL10341991M
    ISBN 10047207007X
    ISBN 109780472070077

    Book Reviews The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives Stephen T. Ziliak and Deirdre N. McCloskey. 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.

    图书The Cult of Statistical Significance 介绍、书评、论坛及推荐. 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. The book’s core message is that statistical significance should not be equated with substantive significance and that empirical researchers should convey more information about the magnitude of relationships and effects than many now do.

    The Cult of Statistical Significance. 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. “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.”.


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The Cult of Statistical Significance by Deirdre Nansen McCloskey Download PDF EPUB FB2

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 by: The book highlights danger and corruption that flows from the overwhelming importance placed upon statistical significance by using examples from various fields like pharma, law, forensics.

Another interesting aspect of the book is a paean to Gosset at the beginning of the book/5. 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. All the more interesting, then, that two prominent economists, Stephen Ziliak and Deirdre McCloskey, claim in their recent book The Cult of Statistical Significance [ZM] that the reliance on statistical methods has gone too far and turned into a ritual and an obstacle to scientific progress.

A typical situation is the following. This article takes issue with a recent book by Ziliak and McCloskey () of the same title. Ziliak and McCloskey argue that statistical significance testing is a barrier rather than a booster.

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/5(29).

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 Cited by: the cult of statistical significance Download the cult of statistical significance or read online books in PDF, EPUB, Tuebl, and Mobi Format.

Click Download or Read Online button to get the cult of statistical significance book now. This site is like a library, Use search box in the widget to get ebook that you want. The Cult of Statistical Significance drew attention to the ethics of statistical significance testing and the frequently large yet neglected consequences for human and other life when the test is misused and misinterpreted as Ziliak and McCloskey have documented it frequently is.

Haiku economics is fundamentally an attempt to bring feelings and. The Cult of Statistical Significance: Preface and table of contents "The Cult of Statistical Significance", Stephen Ziliak & DNM, JSMSection on Statistical Education: (This is the 2nd-most downloaded article on StatLit.); On its influence in the US Supreme Court.

Synopsis "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 4/5(24).

The Cult of Statistical Significance. By Stephen T. Ziliak and Deirdre N. McCloskey. Roosevelt University and University of Illinois-Chicago.

Abstract: We want to persuade you of one claim: that William Sealy Gosset ()—aka "Student" of "Student's" t-test—was right, and that his.

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".

Advance Praise for The Cult of Statistical Significance () “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.”. [BOOK] What if there were no significance tests. LL Harlow, SA Mulaik, JH Steiger - - W48 '6-dc21 Books published by Lawrence Erlbaum. claim in their recent book The Cult of Statistical Significance [ZM] that the reliance on statistical methods has gone too far and turned into a ritual and an obstacle to scientific progress.

A typical situation is the following. A scientist formulates a null hypothesis. By means of a signifi-cance test, she tries to falsify it. The analysis leads. --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.

If you are aware of the problem, this book is a good compendium of the problem, real-world issues, and the historical milieu in which the cult of significance evolved.

Philip R.P. Coelho is a professor of economics at Ball State University. The cult of statistical significance. Steve Ziliak, haiku economist and co-author of The Cult of Statistical Significance, points me to this geeky but splendid video about a much-misunderstood subject.

Steve’s a guest on this week’s More or Less. Here’s an earlier piece about his work, although I am worried that I may have got some of the technical details wrong.

Yet statistical tests that ignore quantity remain pervasive, as the authors demonstrate through quantitative analyses of the contents of some very prestigious journals of economics, psychology, and medicine." --Theodore Porter, Science-- (06/05/) "The Cult of Statistical Significance has virtues that extend beyond its core message/5().

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/5(21).CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This article takes issue with a recent book by Ziliak and McCloskey () of the same title.

Ziliak and McCloskey argue that statistical significance testing is a barrier rather than a booster for empirical research in many fields and should therefore be abandoned altogether.The Cult of Statistical Significance - A Review Sripad Motiram Indira Gandhi Institute of Development Research (IGIDR) General Arun Kumar Vaidya Marg Goregaon (E), Mumbai-INDIA Email(corresponding author): [email protected] Abstract I present a review and extended discussion of The Cult of Statistical Significance: How the Standard.