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Derks, Koen; Burger, Julian; van Doorn, Johnny; Kossakowski, Jolanda J.; Matzke, Dora; Atticciati, Ludovica; Beitner, Julia; Benzesin, Viket; de Bruijn, Anne L.; Cohen, Tara R. H.; Cordesius, Elisa P. A.; van Dekken, Marit; Delvendahl, Nora; Dobbelaar, Simone; Groenendijk, Eva R.; Hermans, Merel E.; Hiekkaranta, Anu P.; Hoekstra, Ria H. A.; Hoffmann, Agnes M.; Hogenboom, Sally A. M.; Kahveci, Sercan; Karaban, Irina J.; Kevenaar, Sofieke T.; te Koppele, Jurriaan L.; Kramer, Anne-wil; Kroon, Emese; Kucharský, Šimon; Lieuw-On, Ricardo; Lunansky, Gaby; Matzen, Timo P.; Meijer, Annemarie; Nieper, Annika; Nooij, Laura de; Poelstra, Leonie; van der Putten, Wikke J.; Sarafoglou, Alexandra; Schaaf, Jessica V.; van de Schraaf, Sara A. J.; van Schuppen, Steven; Schutte, Manon H. M.; Seibold, Mitja; Slagter, Scarlett K.; Snoek, Aishah C.; Stracke, Selina; Tamimy, Zenab; Timmers, Bram; Tran, Han; Uduwa-Vidanalage, Elizabeth S.; Vergeer, Laura; Vossoughi, Linos; Yücel, Dilan E.; Wagenmakers, Eric-Jan
Journal of European psychology students, 12/2018, Letnik: 9, Številka: 1Journal Article
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.
