Quantitative Content Analysis

Friedrichs, Gordon M.

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Quantitative Content Analysis

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Friedrichs, Gordon M.
Max Planck Institute for Comparative Public Law and International Law, Max Planck Society;

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https://www.taylorfrancis.com/chapters/edit/10.4324/9781003139850-24/quantitative-content-analysis-gordon-friedrichs?context=ubx&refId=ce301b82-454b-45af-8a78-bae6e97261ec
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引用: https://hdl.handle.net/21.11116/0000-000F-7896-1

要旨

Quantitative content analysis (QuantCA) offers several benefits to the study of foreign policy, particularly the quantitative analysis of messages related to collective identities. In this chapter, I focus on QuantCA in the context of assumed identity messages with a human preset coding. I first briefly reflect on the usage of QuantCA in FPA and IR scholarship before I focus on one particular application of human preset coding of assumed identity messages related to collective identities originally developed by Hymans (2006). I continue with empirical illustrations of how QuantCA has been applied in two different studies, namely one on national role conceptions and the other one on the foreign policy preferences of individual state leaders. The chapter closes by discussing some of the benefits but also potential pitfalls for researchers when using QuantCA in their own research.