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Data Preparation and Sampling

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Qualitative Research Using R: A Systematic Approach

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Abstract

After installing RQDA, the next step is to import qualitative data that you want to analyze. This chapter discusses the techniques to convert qualitative 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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Notes

  1. 1.

    Given the availability of social innovation database such as Ashoka Changemakers and the relatively large size of the data of social innovation projects, we did employ a purposeful sampling. Rather, we used a stratified sampling approach of the database to enhance the model study’s robustness.

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Authors and Affiliations

  1. The Hong Kong Polytechnic University, Hong Kong, Kowloon, Hong Kong

    Yanto Chandra

  2. City University of Hong Kong, Hong Kong, Kowloon, Hong Kong

    Liang Shang

Authors
  1. Yanto Chandra
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  2. Liang Shang
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© 2019 Springer Nature Singapore Pte Ltd.

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Chandra, Y., Shang, L. (2019). Data Preparation and Sampling. In: Qualitative Research Using R: A Systematic Approach. Springer, Singapore. https://doi.org/10.1007/978-981-13-3170-1_6

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  • DOI: https://doi.org/10.1007/978-981-13-3170-1_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3169-5

  • Online ISBN: 978-981-13-3170-1

  • eBook Packages: Social SciencesSocial Sciences (R0)

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