Three Exceptions in Systematic Model Derivation

I recently wrote about a systematic, bias-minimizing approach to exploratory data analysis and model identification. This article clarifies my preferred process and adds two exceptions to the typical process. I begin by collecting data of interest. The data sets aren’t randomly assembled, but neither are they assembled with a particular operationalization in mind. I am … Read more