Network Models to Organize a Dispersed Literature: The Case of Misunderstanding Analysis of Covariance
| Authors |
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| Publication date | 2018 |
| Journal | Journal of European Psychology Students |
| Volume | Issue number | 9 |
| Pages (from-to) | 48-57 |
| Number of pages | 10 |
| Organisations |
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| 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. |
| Document type | Article |
| Language | English |
| Published at | https://doi.org/10.5334/jeps.458 |
| Downloads |
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