What is - , 07-11-2023

What is Content Analysis and Inter-Coder Reliability?

Speaker(s):

Bio: Caroline Leicht is a PhD candidate in the Department of Politics and International Relations at the University of Southampton. Her research focuses on the intersection of gender, media and politics. In her PhD project, Caroline examines the role of gender in representations of presidential candidates in political satire. Using a mixed methods approach, this project explores gender role congruity, gendered framing, and gendered themes in political satire and news coverage of candidates in the 2016 and 2020 US Presidential Elections. Caroline currently serves as the Communications Officer of the Political Studies Association Early Career Network. Prior to joining the University of Southampton, Caroline received her MA in International Relations and Security from the University of Liverpool and her BA in North American Studies from the Free University of Berlin, Germany. During her undergraduate studies, she was a visiting student at New York University and at the University of California, Los Angeles. Caroline's research has been published in Political Studies Review and she is a frequent contributor to academic blogs. Outside of academia, she has worked as an editor and reporter in print, online and television journalism. Most recently, she covered elections in the US (2020), in the UK (2019) and in Germany (2017 and 2021).

Abstract:

Content analysis can be a useful tool to analyze a wide range of data, including texts, visuals, or backgrounds of actors in the public sphere. This session will cover the basics of getting started with content analysis: How to identify usable data, how to find a suitable coding scheme, and how to conduct the coding. Additionally, we will explore how to establish inter-coder reliability, including how to identify secondary coders, how to generate randomized subsamples, and how to calculate reliability scores. There will also be an opportunity for participants to ask their individual questions.