Research Article
Network Models to Organize a Dispersed Literature: The Case of Misunderstanding Analysis of Covariance
Authors:
- Koen DerksEmail Koen Derks
- Julian Burger
- Johnny van Doorn
- Jolanda J. Kossakowski
- Dora Matzke
- Ludovica Atticciati
- Julia Beitner
- Viket Benzesin
- Anne L. de Bruijn
- Tara R. H. Cohen
- Elisa P. A. Cordesius
- Marit van Dekken
- Nora Delvendahl
- Simone Dobbelaar
- Eva R. Groenendijk
Abstract
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.
- Year: 2018
- Volume: 9 Issue: 1
- Page/Article: 48-57
- DOI: 10.5334/jeps.458
- Published on 12 Dec 2018
- Peer Reviewed