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Continually educating the scientists and postgraduate students about the ethics and norms of scientific publishing is an important measure to ensure publication of reliable, worthy, and impactful papers.In many areas of psychology, correlation-based network approaches (i.e., psychometric networks) have become a popular tool. In this paper, we propose an approach that recursively splits the sample based on covariates in order to detect significant differences in the structure of the covariance or correlation matrix. Psychometric networks or