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dc.contributor.authorKing, Gary
dc.date.accessioned2010-10-01T12:22:28Z
dc.date.issued1986
dc.identifier.citationKing, Gary. 1986. How not to lie with statistics: Avoiding common mistakes in quantitative political science. American Journal of Political Science 30(3): 666-687.en_US
dc.identifier.issn0092-5853en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:4455012
dc.description.abstractThis article identifies a set of serious theoretical mistakes appearing with troublingly high frequency throughout the quantitative political science literature. These mistakes are all based on faulty statistical theory or on erroneous statistical analysis. Through algebraic and interpretive proofs, some of the most commonly made mistakes are explicated and illustrated. The theoretical problem underlying each is highlighted, and suggested solutions are provided throughout. It is argued that closer attention to these problems and solutions will result in more reliable quantitative analyses and more useful theoretical contributions.en_US
dc.description.sponsorshipGovernmenten_US
dc.language.isoen_USen_US
dc.publisherCambridge University Pressen_US
dc.relation.isversionofhttp://www.wiley.com/bw/journal.asp?ref=0092-5853en_US
dc.relation.hasversionhttp://gking.harvard.edu/files/mist.pdfen_US
dash.licenseLAA
dc.titleHow Not to Lie with Statistics: Avoiding Common Mistakes in Quantitative Political Scienceen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalAmerican Journal of Political Scienceen_US
dash.depositing.authorKing, Gary
dc.date.available2010-10-01T12:22:28Z
dc.identifier.doi10.2307/2111095
dash.identifier.orcid0000-0002-5327-7631*
dash.contributor.affiliatedKing, Gary
dc.identifier.orcid0000-0002-5327-7631


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