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文章基本信息

  • 标题:Network Models to Organize a Dispersed Literature: The Case of Misunderstanding Analysis of Covariance
  • 作者:Koen Derks ; Julian Burger ; Johnny van Doorn
  • 期刊名称:Journal of European Psychology Students
  • 印刷版ISSN:2222-6931
  • 出版年度:2018
  • 卷号:9
  • 期号:1
  • 页码:48-57
  • DOI:10.5334/jeps.458
  • 语种:English
  • 出版社:Ubiquity Press
  • 其他摘要:

    We outline a network method to synthesize a literature overview from search results obtained by multiple team members. Several network statistics are used to create a single representativeness ranking. We illustrate the method with the dispersed literature on a common misinterpretation of analysis of covariance (ANCOVA). The network method yields a top ten list of the most relevant articles that students and researchers can take as a point of departure for a more detailed study on this topic. The proposed methodology is implemented in Shiny, an open-source R package.

  • 其他关键词:Literature review; ANCOVA; Networks; Combining ranks; Data augmentation
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