Record ID | marc_openlibraries_sanfranciscopubliclibrary/sfpl_chq_2018_12_24_run03.mrc:301533720:3803 |
Source | marc_openlibraries_sanfranciscopubliclibrary |
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LEADER: 03803cam a2200577 a 4500
001 225846896
003 OCoLC
005 20151005070136.0
008 080416s2008 caua b s001 0 eng
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020 $a9780520257467 (cloth : alk. paper)
020 $a0520257464 (cloth : alk. paper)
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035 $a225846896
035 $a(OCoLC)225846896
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049 $aSFRA
050 00 $aHM535$b.B477 2008
082 00 $a301.072/7$222
092 $a301.0727$bB4644s
100 1 $aBest, Joel.
245 10 $aStat-spotting :$ba field guide to identifying dubious data /$cJoel Best.
260 $aBerkeley :$bUniversity of California Press,$cc2008.
300 $a132 p. :$bill. ;$c22 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
504 $aIncludes bibliographical references (p. 119-129) and index.
505 00 $gpt. 1.$tGetting started --$gA.$tSpotting questionable numbers --$gB.$tBackground --$gB.1.$tStatistical benchmarks --$gB.2.$tSeverity and frequency --$gpt. 2.$tVarieties of dubious data --$gC.$tBlunders --$gC.1. The$tslippery decimal point --$gC.2.$tBotched translations --$gC.3.$tMisleading graphs --$gC.4.$tCareless calculations --$gD.$tSources : who counted - and why? --$gD.1.$tBig round numbers --$gD.2.$tHyperbole --$gD.3.$tShocking claims --$gD.4.$tNaming the problem --$gE.$tDefinitions : what did they count? --$gE.1.$tBroad definitions --$gE.2.$tExpanding definitions --$gE.3.$tChanging definitions --$gE.4. The$tuncounted --$gF.$tMeasurements : how did they count? --$gF.1.$tCreating measures --$gF.2.$tOdd units of analysis --$gF.3.$tLoaded questions --$gF.4.$tRaising the bar --$gF.5.$tTechnical measures --
505 00 $gG.$tPackaging : what are they telling us? --$gG.1.$tImpressive formats --$gG.2.$tMisleading samples --$gG.3.$tConvenient time frames --$gG.4.$tPeculiar percentages --$gG.5.$tSelective comparisons --$gG.6.$tStatistical milestones --$gG.7.$tAverages --$gG.8.$tEpidemics --$gG.9.$tCorrelations --$gG.10.$tDiscoveries --$gH. Debates : what if they disagree? --$gH.1.$tCausality debates --$gH.2.$tEquality debates --$gH.3.$tPolicy debates --$gpt. 3.$tStat-spotting on your own --$gI.$tSummary : Common signs of dubious data --$gJ.$tBetter data : some characteristics --$gK.$tAfterword : If you had no idea things were that bad, they probably aren't --$gL.$tSuggestions for those who want to continue stat-spotting --$tAcknowledgments --$tNotes --$tIndex.
650 0 $aSociology$xStatistical methods.
650 0 $aSocial problems$xStatistical methods.
907 $a.b22058965$b11-14-18$c02-04-09
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957 00 $aOCLC reclamation of 2017-18
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956 $aNo pre-reclamation 001 field existed
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