7 research outputs found
Network Models to Organize a Dispersed Literature: The Case of Misunderstanding Analysis of Covariance
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Network Models to Organize a Dispersed Literature: The Case of Misunderstanding Analysis of Covariance
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