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Achieving Democratic Leadership: A Data-Mined Prescription.

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Title: Achieving Democratic Leadership: A Data-Mined Prescription.
Authors: Jurek, Steven J., Scime, Anthony
Source: Social Science Quarterly (Wiley-Blackwell). Mar2014, Vol. 95 Issue 1, p97-110. 14p. 1 Diagram, 6 Charts.
Subjects: Political leadership -- Social aspects, Data mining -- Social aspects, Liberty, Freedom of religion, Democracy, Politicians, Classification, Education
Abstract: Objective. To understand what kind of individuals lead particular regimes, this study examines the most influential people in politics, the executives, to uncover the relationship between their characteristics and the type of regime they govern. Methods. This article employs data mining with characteristics of executives worldwide against the state's Freedom House ranking. Results. Through data mining, the results indicate that while there are still many important factors that coincide with democracy, the length of time in office and to a lesser extent the religious beliefs of executives and the likelihood of being classified as a democracy are heavily related. Conclusion. This article concludes with a recommendation for supporting specific types of executives to increase the likelihood for successful democratization to minimize authoritarian rule. [ABSTRACT FROM AUTHOR]
Copyright of Social Science Quarterly (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Achieving Democratic Leadership: A Data-Mined Prescription.
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  Data: <searchLink fieldCode="AR" term="%22Jurek%2C+Steven+J%2E%22">Jurek, Steven J.</searchLink><br /><searchLink fieldCode="AR" term="%22Scime%2C+Anthony%22">Scime, Anthony</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Social+Science+Quarterly+%28Wiley-Blackwell%29%22">Social Science Quarterly (Wiley-Blackwell)</searchLink>. Mar2014, Vol. 95 Issue 1, p97-110. 14p. 1 Diagram, 6 Charts.
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  Data: Objective. To understand what kind of individuals lead particular regimes, this study examines the most influential people in politics, the executives, to uncover the relationship between their characteristics and the type of regime they govern. Methods. This article employs data mining with characteristics of executives worldwide against the state's Freedom House ranking. Results. Through data mining, the results indicate that while there are still many important factors that coincide with democracy, the length of time in office and to a lesser extent the religious beliefs of executives and the likelihood of being classified as a democracy are heavily related. Conclusion. This article concludes with a recommendation for supporting specific types of executives to increase the likelihood for successful democratization to minimize authoritarian rule. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Social Science Quarterly (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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      – SubjectFull: Data mining -- Social aspects
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      – SubjectFull: Liberty
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      – SubjectFull: Freedom of religion
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