10 edition of **cult of statistical significance** found in the catalog.

- 208 Want to read
- 31 Currently reading

Published
**2008** by University of Michigan Press in Ann Arbor .

Written in English

- Economics -- Statistical methods,
- Statistics -- Social aspects,
- Statistical hypothesis testing -- Social aspects

**Edition Notes**

Includes bibliographical references (p. 265-287) and index.

Statement | by Stephen T. Ziliak and Deirdre N. McCloskey. |

Series | Economics, cognition, and society |

Contributions | McCloskey, Deirdre N. |

Classifications | |
---|---|

LC Classifications | HB137 .Z55 2008 |

The Physical Object | |

Pagination | xxiii, 321 p. : |

Number of Pages | 321 |

ID Numbers | |

Open Library | OL18569280M |

ISBN 10 | 047207007X, 0472050079 |

ISBN 10 | 9780472070077, 9780472050079 |

LC Control Number | 2007035401 |

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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 Cult of statistical significance book [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 /5(23).

The Cult of Statistical Significanceshows, 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 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".

The Cult of Statistical Significance--A Book Review Showing of 8 messages. The Cult of Statistical Significance--A Book Review: Dom: 9/22/10 PM: The Cult of Statistical Significance--A Book Review: vontr @: 9/23/10 AM: What a funny review. 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.”. 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. 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. --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 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 : University of Michigan Press.

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. 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).

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.

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().

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.

The Cult of Statistical Significance Quotes Showing of 2 “Significance unfortunately is a useful means toward a personal ends in the advance of science - status and widely distributed publications, a big laboratory, a staff of research assistants, a reduction in teaching load, a Cited by: 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. The book recounts the alarmingly diverse instances of researchers and clients misguidedly settling for statistical significance.

The book's villain is Ronald Fisher, the most influential statistician of the 20th century. He introduced statistical significance as the gold standard of hypothesis testing.

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.

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 Cult of Statistical Significance McCloskey, Deirdre Nansen, Ziliak, Steve For additional information about this book 76 The Cult of Statistical Signiﬁcance Multiple-author articles were a little worse than single-author articles,Cited by: “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.”. 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 : University of Michigan Press.

with a book which, though lively and provocative, is ultimately unconvincing. Mark Koyama DPhil Candidate in Economics Department of Economics and Wadham College University of Oxford @ Book Review book reviewsXX THE CULT OF STATISTICAL SIGNIFICANCE: HOW THE STANDARD ERROR COSTS US JOBS, JUSTICE, AND LIVES.

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 : Deirdre Nansen McCloskey; Steve Ziliak.

She is now writing a sequel to that book, and I cannot wait. A second highlight for me in these AAA annual meetings was a single sentence in the Tuesday morning plenary presentation of Gergory S.

Berns, the Director of the (Brain) Center for Neuropolicy at Emory University. The Cult of Statistical Significance by Stephen Thomas Ziliak,available at Book Depository with free delivery worldwide/5(). In this important book, Ziliak and McCloskey have three objectives: to remind us that such research may be mindless, unscientific, and costly; to explicate the intellectual history of significance testing and the straggles among those professors who developed sampling and statistical testing; and to illustrate the correct way to conduct.

On The Cult of Statistical Significance (continued from above): Existence, arbitrary statistical significance, philosophical possibilities uncalibrated to the sizes of important effects in the world are useless for science.

Yet in medical science, in population biology, in much of sociology, political sciences, psychology, and economics, in."The Cult of Statistical Significance" is a critique of social science's overemphasis on confidence levels and its convention that only statistically-significant results are worthy of acceptance.

It's by two academic economists, Stephen Ziliak and Deirdre McCloskey, and my impression is that it made a li ttle bit of a splash when it was.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.