How Not to Lie with Statistics: Avoiding Common Mistakes in Quantitative Political Science

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How Not to Lie with Statistics: Avoiding Common Mistakes in Quantitative Political Science

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Title: How Not to Lie with Statistics: Avoiding Common Mistakes in Quantitative Political Science
Author: King, Gary
Citation: King, Gary. 1986. How not to lie with statistics: Avoiding common mistakes in quantitative political science. American Journal of Political Science 30(3): 666-687.
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Abstract: This 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.
Published Version: http://www.wiley.com/bw/journal.asp?ref=0092-5853
Other Sources: http://gking.harvard.edu/files/mist.pdf
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:4455012

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  • FAS Scholarly Articles [6902]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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