How Do We Know What We Know? Learning from Monte Carlo Simulations

IF 3.5 1区社会学 Q1 POLITICAL SCIENCE Journal of Politics Pub Date : 2023-10-12 DOI:10.1086/726934

Vincent Hopkins, Ali Kagalwala, Andrew Q Philips, Mark Pickup, Guy D Whitten

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Abstract

Next article No AccessHow Do We Know What We Know? Learning from Monte Carlo SimulationsVincent Hopkins, Ali Kagalwala, Andrew Q Philips, Mark Pickup, and Guy D WhittenVincent Hopkins Search for more articles by this author , Ali Kagalwala Search for more articles by this author , Andrew Q Philips Search for more articles by this author , Mark Pickup Search for more articles by this author , and Guy D Whitten Search for more articles by this author PDFPDF PLUS Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinkedInRedditEmailPrint SectionsMoreDetailsFiguresReferencesCited by The Journal of Politics Just Accepted Sponsored by the Southern Political Science Association Article DOIhttps://doi.org/10.1086/726934 HistoryAccepted May 05, 2023 © 2023 Southern Political Science Association. All Rights reserved.PDF download Crossref reports no articles citing this article.

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来源期刊

Journal of Politics POLITICAL SCIENCE-

CiteScore

5.10

自引率

3.20%

发文量

166

期刊介绍： Established in 1939 and published for the Southern Political Science Association, The Journal of Politics is a leading general-interest journal of political science and the oldest regional political science journal in the United States. The scholarship published in The Journal of Politics is theoretically innovative and methodologically diverse, and comprises a blend of the various intellectual approaches that make up the discipline. The Journal of Politics features balanced treatments of research from scholars around the world, in all subfields of political science including American politics, comparative politics, international relations, political theory, and political methodology.