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文章基本信息

  • 标题:Current Issues in Qualitative Data Analysis Software (QDAS): A User and Developer Perspective
  • 本地全文:下载
  • 作者:Evers, Jeanine C.
  • 期刊名称:The Qualitative Report
  • 印刷版ISSN:1052-0147
  • 出版年度:2018
  • 卷号:23
  • 期号:13
  • 页码:61-73
  • 出版社:Nova Southeastern University
  • 摘要:This paper describes recent issues and developments in Qualitative Data Analysis Software (QDAS) as presented in the opening plenary at the KWALON 2016 conference. From a user perspective, it reflects current features and functionality, including the use of artificial intelligence and machine learning; implications of the cloud; user friendliness; the role of digital archives; and the development of a common exchange format. This user perspective is complemented with the views of software developers who took part in the “Rotterdam Exchange Format Initiative,” an outcome of the conference.
  • 关键词:Qualitative Data Analysis Software; QDAS; Artificial Intelligence; Machine Learning; ATLAS.ti; Cassandre; Dedoose; f4analyse; MAXQDA; NVivo; QDA Miner; Quirkos; Transana; Exchange format; Interoperability; Qualitative Data Analysis; Learning Curve QDAS; Textual Data Mining; Cloud services.
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