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Introduction: Case studies in transparent qualitative research

Authors: Kapiszewski, Diana; Karcher, Sebastian;

Introduction: Case studies in transparent qualitative research

Abstract

The discipline of political science has been engaged in vibrant debate about research transparency for more than three decades. Over the last ten years, scholars who generate, collect, interpret, and analyze qualitative data have become increasingly involved in these discussions. The debate has played out across conference panels, coordinated efforts such as the Qualitative Transparency Deliberations (B��the et al. 2021), articles in a range of journals, and symposia in outlets such as PS: Political Science and Politics, Security Studies, the newsletter of the Comparative Politics section of the American Political Science Association (APSA), and, indeed, QMMR. Until recently, much of the dialogue has been conducted in the abstract. Scholars have thoroughly considered the questions of whether political scientists who generate and employ qualitative data and methods can and should seek to make their work more transparent, what information they should share about data generation and analysis, and which (if any) data they should make accessible in pursuit of transparency (see Jacobs et al. 2021).

Keywords

qualitative methods

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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