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Content analysis: an introduction to its methodology
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History Conceptual Foundations Uses and Kinds of Inference The Logic of Content Analysis Designs Unitizing Sampling Recording Data Languages Constructs for Inference Analytical Techniques The Use of Computers Reliability Validity A Practical GuideAbstract:
History Conceptual Foundations Uses and Kinds of Inference The Logic of Content Analysis Designs Unitizing Sampling Recording Data Languages Constructs for Inference Analytical Techniques The Use of Computers Reliability Validity A Practical Guideread more
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From the Editors: What Grounded Theory is Not
TL;DR: Roy Suddaby is asked to tackle another “big issue” that the editorial team has noticed with respect to qualitative submissions to AMJ: overly generic use of the term “grounded theory” and confusion regarding alternative epistemological approaches to qualitative research.
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Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability
TL;DR: A content analysis of 200 studies utilizing content analysis published in the communication literature between 1994 and 1998 is used to characterize practices in the field and demonstrate that mass communication researchers often fail to assess (or at least report) intercoder reliability and often rely on percent agreement, an overly liberal index.
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Role of social media in online travel information search
Zheng Xiang,Ulrike Gretzel +1 more
TL;DR: In this paper, the authors investigated the extent to which social media appeared in search engine results in the context of travel-related searches and found that social media constituted a substantial part of the search results, indicating that search engines likely direct travelers to social media sites.
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How to plan and perform a qualitative study using content analysis
TL;DR: This description of qualitative content analysis offers one approach that shows how the general principles of the method can be used and four distinct main stages are described: the decontextualisation, the recontextualization, the categorization, and the compilation.
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Assessing agreement on classification tasks: the kappa statistic
TL;DR: The authors discuss what is wrong with reliability measures as they are currently used for discourse and dialogue work in computational linguistics and cognitive science, and argue that we would be better off as a field adopting techniques from content analysis.