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008 070824s2008 miua b 001 0 eng
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050 00 $aHB137$b.Z55 2008
082 00 $a330.01/5195$222
084 $a70.03$2bcl
100 1 $aZiliak, Stephen Thomas,$d1963-
245 14 $aThe cult of statistical significance :$bhow the standard error costs us jobs, justice, and lives /$cby Stephen T. Ziliak and Deirdre N. McCloskey.
260 $aAnn Arbor :$bUniversity of Michigan Press,$c©2008.
300 $axxiii, 321 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 1 $aEconomics, cognition, and society
504 $aIncludes bibliographical references (pages 265-287) and index.
505 0 $aA significant problem -- Dieting "significance" and the case of Vioxx -- The sizeless stare of statistical significance -- What the sizeless scientists say in defense -- Better practice: [beta]-importance vs. [alpha]-"significance" -- A lot can go wrong in the use of significance tests in economics -- A lot did go wrong in the American Economic Review during the 1980s -- Is economic practice improving? -- How big is big in economics? -- What the sizeless stare costs, economically speaking -- How economics stays that way: the textbooks and the referees -- The not-boring rise of significance in psychology -- Psychometrics lacks power -- The psychology of psychological significance testing -- Medicine seeks a magic pill -- Rothman's revolt -- On drugs, disability, and death -- Edgeworth's significance -- "Take 3[sigma] as definitely significant": Pearson's rule -- Who sits on the egg of culculus canorus? Not Karl Pearson -- Gosset: the fable of the bee -- Fisher: the fable of the wasp -- How the wasp stung the bee and took over some sciences -- Eighty years of trained incapacity: how such a thing could happen -- What to do.
520 $aThe 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.
650 0 $aEconomics$xStatistical methods.
650 0 $aStatistics$xSocial aspects.
650 0 $aStatistical hypothesis testing$xSocial aspects.
650 7 $a70.03 methods, techniques and organization of social science research.$0(NL-LeOCL)077601203$2bcl
650 7 $aEconomics$xStatistical methods.$2fast$0(OCoLC)fst00902215
650 17 $aStatistical tests.$0(NL-LeOCL)078675227$2gtt
650 17 $aStatistical reliability.$0(NL-LeOCL)078675189$2gtt
650 17 $aScientific policy.$0(NL-LeOCL)078959748$2gtt
650 17 $aNon-parametric statistics.$0(NL-LeOCL)078605555$2gtt
600 17 $aGosset, William Sealy,$d1876-1937.$2nta
600 17 $aFisher, R. A.,$d1890-1962.$2nta
653 00 $aeconomie
653 00 $aeconomics
653 00 $astatistische analyse
653 00 $astatistical analysis
653 00 $astatistiek
653 00 $astatistics
653 00 $asociale wetenschappen
653 00 $asocial sciences
653 00 $alevenswetenschappen
653 00 $alife sciences
653 10 $aEconomics (General)
653 20 $aStatistical Analysis
653 10 $aEconomie (algemeen)
653 20 $aStatistische analyse
700 1 $aMcCloskey, Deirdre N.
776 08 $iOnline version:$aZiliak, Stephen Thomas, 1963-$tCult of statistical significance.$dAnn Arbor : University of Michigan Press, ©2008$w(OCoLC)608617780
830 0 $aEconomics, cognition, and society.
856 41 $3Table of contents$uhttp://www.gbv.de/dms/zbw/543564983.pdf$zKostenfrei
856 41 $zTable of contents only$uhttp://catdir.loc.gov/catdir/toc/ecip0726/2007035401.html
856 42 $zPublisher description$uhttp://catdir.loc.gov/catdir/enhancements/fy0809/2007035401-d.html
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