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Media diversity and the analysis of qualitative variation
journal contribution
posted on 2021-06-10, 10:16 authored by David DeaconDavid Deacon, James StanyerJames StanyerDiversity is recognised as a significant criterion for appraising the democratic performance of media systems. This article begins by considering key conceptual debates that help differentiate types and levels of diversity. It then addresses a core methodological challenge in measuring diversity: how do we model statistical variation and difference when many measures of source and content diversity only attain the nominal level of measurement? We identify a range of obscure statistical indices developed in other fields that measure the strength of ‘qualitative variation’. Using original data, we compare the performance of five diversity indices and, on this basis, propose the creation of a more effective diversity average measure. The article concludes by outlining innovative strategies for drawing statistical inferences from these measures, using bootstrapping and permutation testing resampling. All statistical procedures are supported by a unique online resource developed for this article.
History
School
- Social Sciences and Humanities
Department
- Communication and Media
Published in
Communication and the PublicVolume
6Issue
1-4Pages
19-32Publisher
SageVersion
- VoR (Version of Record)
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© The authorsPublisher statement
This is an Open Access Article. It is published by Sage under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/Publication date
2021-05-10Copyright date
2021eISSN
2057-0473Publisher version
Language
- en
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Deposit date: 8 June 2021Usage metrics
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