Reply on the Comments on When is Statistical Significance not Significant?
(1) Scholars must always graphically analyze their data before interpreting the p-value In many cases, as pointed out by , graphical analysis cannot help you. That being said, ignoring graphs is a much worse path to trail. Graphical analysis is a powerful tool not only for examining linear relationships but also to identify exponential, quadratic, and cubic relationships. Additionally, graphical analysis can be applied to more descriptive goals not related to the presence of covariates or model selection. We simulated […]
Comments on When is Statistical Significance not Significant?
(FIGUEIREDO FILHO, Dalson. B. et al. When is statistical significance not significant? Brazilian Political Science Review. Vol. 07, Nº 01, 2013) An article titled “When is statistical significance not significant?” was published in this journal. The study echoes countless others which have underlined the dangers of wrongly interpreting the p-value (see for an overview of such studies). The authors’ main goal is to provide a basis for understanding the logic behind tests of significance and their appropriate role in empirical […]