A taxonomy of model assumptions on which P is based and implications for added benefit in the sciences

Although the null hypothesis significance testing procedure is problematic, many still favor the use of p-values as indicating the state of evidence against the model used to generate the p-value. From this perspective, p-values benefit science; or would benefit science if used correctly. In contrast, the novel argument to be presented introduces a taxonomy of assumptions included in the model; such as theoretical assumptions, auxiliary...