Statistical model specification and testing techniques form the foundation of rigorous quantitative inquiry across disciplines. Model specification entails articulating a statistical representation of ...

The purpose of statistical model selection is to identify a parsimonious model, which is a model that is as simple as possible while maintaining good predictive ability over the outcome of interest.

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...