Symposium: Dyadic Research Designs: Progress or Postmortem?
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/OSXNZS
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[This is a post-publication review symposium] To what extent are international relations scholars constrained in their ability to answer important questions by what has become the workhorse unit of observation for analyzing relational data: the dyad? Skyler Cranmer and Bruce Desmarais argue that focusing on dyadic data has led scholarship to fail at properly characterizing relationships of interest in international relations data, while Paul Diehl and Thorin Wright (2016)and Paul Poast (2016) offer conditional defenses of using dyadic data. However, all three acknowledge that many of the problems identified in Cranmer and Desmarais (2016) carry with them both inferential and substantive merit. Journal space prevents a fuller exploration of this debate in the pages of International Studies Quarterly. Thus, to facilitate this important discussion, we invited eight scholars to weigh in on the question of dyadic data.
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Harvard Dataverse
创建时间:
2017-09-10



