Joint NC BERD Seminar: Evaluating quantitative research beyond statistical significance: Abelson's MAGIC criteria

How should we evaluate the results from a quantitative study? A common, but unfortunate way is to examine the p-value: If it's not significant, the study wasn't good; if it's significant, then good, and if it's highly significant, then very good. This talk introduces Robert Abelson's MAGIC criteria for evaluating quantitative results.

This event is being cross-promoted by the NC BERD Consortium, a collaboration of the CTSA-funded BERD cores at UNC-Chapel Hill, Wake Forest University School of Medicine, and Duke University School of Medicine.