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Journals / All Azimuth: A Journal of Foreign Policy and Peace / 2019 / Cilt: 8 - Sayı: 2

Large-N Analysis in the Study of Conflict

Belgin Şan-Akca
Pages
135–156
Publication Date
2019-07-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

I make suggestions laying the standards of academic scholarship in collecting data and increasing transparency in research.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, I examine the generation and use of large-N datasets and issues related to operationalization and measurement in the study of inter-state and intra-state conflict.
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Key Findings & Data:Specifically, I critically evaluate the work on transnational dimensions of internal conflict.
💡
Conclusion & Impact:I make suggestions laying the standards of academic scholarship in collecting data and increasing transparency in research.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Positivism · civil war · inter-state war

Abstract

In this paper, I examine the generation and use of large-N datasets and issues related to operationalization and measurement in the study of inter-state and intra-state conflict. Specifically, I critically evaluate the work on transnational dimensions of internal conflict. I also talk about my own journey related to my research on interactions between states and nonstate armed groups. I address the gaps in existing research, the use of proxies in large-N data analysis, and talk in detail about observational data collection and coding. I argue that future research should bridge the gap between studies of conflict across the fields of Comparative Politics and International Relations. I make suggestions laying the standards of academic scholarship in collecting data and increasing transparency in research.

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Cite This Article

Şan-Akca, B. (2019). Large-N Analysis in the Study of Conflict. All Azimuth: A Journal of Foreign Policy and Peace, Cilt: 8 - Sayı: 2, 135–156. https://ajindex.com/articles/119751

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