Large-N analysis in the study of conflict

Abstract

In this paper, I examine the generation and use of large-N datasets and issues related to perationalization and measurement in the quantitative study of inter-state and intra-state conflict. Specifically, I critically evaluate the work on transnational dimensions of internal conflict and 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 proxy measures 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.