rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Qualitative Research Using R: A Systematic Approach
  name:
    name part: Chandra, Yanto.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Shang, Liang.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: si
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 151 p. 103 illus. online resource.
  abstract: This book highlights the rise of the Gioia methodology as an important paradigm in qualitative research in the social sciences, and demonstrates how the Gioia 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 Gioia methodology, to produce high-quality qualitative research and includes step-by-step instructions on using RQDA under the Gioia 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. And to top it all off, it's free." Dennis Gioia, Penn State University, USA The authors provide an important new toolkit for qualitative researchers that will improve the depth and rigor of their data analysis. Students and seasoned researchers alike should take note!" Nelson Phillips, Imperial College, United Kingdom The book makes me want to go back to my old data and start over! Nicole Coviello, Wilfrid Laurier University, Canada.
  table of contents: Chapter 1: Qualitative Research: From Paradigms and Execution -- Chapter 2: Computer-Assisted Qualitative Research: Why and How -- Chapter 3: Integrating Computer-Assisted Qualitative Data Analysis and Qualitative Research -- Chapter 4: An Overview of R and RQDA: An Open Source CAQDAS Platform -- Chapter 5: Installing RQDA -- Chapter 6: Data Preparation and Sampling -- Chapter 7: Starting and Launching RQDA -- Chapter 8: Inductive Coding Process -- Chapter 9: Data Attributes and Memos -- Chapter 10: Codes Aggregation, Plotting and Exporting -- Chapter 11: Grounded Theory Development -- Chapter 12: Conclusion.
  note: by Yanto Chandra, Liang Shang.
  subject:
    topic: Sociology-Research
  subject:
    topic: Statistics
  subject:
    topic: Big data
  subject:
    topic: Public policy
  subject:
    topic: Research Methodology
  subject:
    topic: Statistics for Social Sciences, Humanities, Law
  subject:
    topic: Big Data/Analytics
  subject:
    topic: Public Policy
  classification: HM48
  classification: 301.072
  related item:
    title info:
      title: Springer eBooks
  identifier: 9789811331701
  identifier: https://doi.org/10.1007/978-981-13-3170-1
  record info:
    record creation date: 190423
    record change date: 20191026182756.0
    record identifier: 978-981-13-3170-1