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Titlebook: Qualitative Research Using R: A Systematic Approach; Yanto Chandra,Liang Shang Book 2019 Springer Nature Singapore Pte Ltd. 2019 Open sour

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书目名称Qualitative Research Using R: A Systematic Approach
编辑Yanto Chandra,Liang Shang
视频video
概述Unpacks the major paradigms in qualitative research.Integrates computer-assisted qualitative data analysis and qualitative research.Provides a step-by-step approach to using RQDA software for qualitat
图书封面Titlebook: Qualitative Research Using R: A Systematic Approach;  Yanto Chandra,Liang Shang Book 2019 Springer Nature Singapore Pte Ltd. 2019 Open sour
描述This book highlights the rise of the Strauss-Corbin-Gioia (SCG) methodology as an important paradigm in qualitative research in the social sciences, and demonstrates how the SCG methodology can be operationalized and enhanced using RQDA. It also provides a technical and methodological review of RQDA as a new CAQDAS tool. Covering various techniques, it offers methodological guidance on how to connect CAQDAS tool with accepted paradigms, particularly the SCG methodology, to produce high- quality qualitative research and includes step-by-step instructions on using RQDA under the SCG qualitative research paradigm. Lastly, it comprehensively discusses methodological issues in qualitative research. This book is useful for qualitative scholars, PhD/postdoctoral students and students taking qualitative methodology courses in the broader social sciences, and those who are familiar with programming languages and wish to cross over to qualitative data analysis.."At long last! We now have a qualitative data-analysis approach that enhances the use of a systematic methodology for conducting qualitative research. Chandra and Shang should be applauded for making our research lives a lot easier. A
出版日期Book 2019
关键词Open source software; RQDA; Qualitative data analysis; Computer-assisted qualitative analysis; Grounded-
版次1
doihttps://doi.org/10.1007/978-981-13-3170-1
isbn_ebook978-981-13-3170-1
copyrightSpringer Nature Singapore Pte Ltd. 2019
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Codes Aggregation, Plotting and Exporting,After completing the coding process, the next step is to organize the codes. This chapter discusses the techniques used in aggregating codes in RQDA, plotting the codes in a two-dimensional network format, and exporting the plotted networks via an HTML file that is shared with fellow collaborators and journal gatekeepers.
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Springer Nature Singapore Pte Ltd. 2019
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Data Preparation and Sampling,ive data (i.e., words) into the data format supported by RQDA. We also offer techniques to combine several pieces of files into a corpus (a corpus file) and other “tricks” to prepare the data for RQDA analysis. With respect to primary data collection, it discusses how to systematically conduct sampling (e.g., for interviews, news articles).
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