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The end to the forever war : A content analysis of the American withdrawal from AfghanistanHåkansson, Hampus January 2021 (has links)
To analyse the war in Afghanistan from different theories is nothing new to the studies of international relations. However, one aspect that yet has been studied regarding the Afghan war is the withdrawal of troops and civilian personnel and why it occurred in August 2021 and not earlier or later. This lack of knowledge creates a research gap which needs to be filled to explain why President Biden went through with the withdrawal, even though the president knew that the Taliban would seize power in Afghanistan. This thesis will therefore explain the Biden administration's decision to continue the military and civilian withdrawal from Afghanistan even though the threat of Taliban takeover was imminent. The method chosen for this thesis is a qualitative content analysis which will be used to analyse the material with the help of leadership trait analysis and the bureaucratic politics model theories. The material which was used war press statements, speeches, and committee hearings. As the analysis shows, the decision to withdraw was a compromise between actors which was possible due to Joe Bidens openness to information. In summary, this thesis offers one explanation to why the U.S. withdrew from Afghanistan.
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Mao Zedong and Xi Jinping: A Trait AnalysisDouglas, Dan 28 July 2017 (has links)
No description available.
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The Effects of State Leader Psychology on Civil War LethalityKelley, Brandon 01 January 2014 (has links)
Does a state leader's psychology influence lethality in civil wars? This thesis analyzes the aforementioned question during post-1945 civil wars. This particular subject, paying close attention to individual psychology at the state level, is gaining traction amongst scholars, though limited scholarly attention has addressed whether leader psychology is an indicator of conflict severity in terms of lethality. The psychology of the state leader in this thesis is assessed from leadership traits and operational code indices, specifically direction of strategy (I1) and interpretation of the nature of the political universe (P1). The data and cases used are pulled from datasets by Dr. James Fearon and the Correlates of War Project. The leaders' speech content is derived primarily from prepared material and analyzed using verbal content analysis via Profiler Plus. In measuring the effects of the predictors on my dependent variable, I chose the methodological approach of count data models, specifically, zero-truncated negative binomial regression. The results from the eight models I ran show that specific psychological traits, particularly a leader's I1 and P1 scores, level of distrust, and need for power, do play a significant role when determining the causes of civil war lethality.
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