This document serves as a practical resource for conducting regression analysis with clustered data when the outcome variable is continuous. The objective is to demonstrate how to avoid fitting regression models that produce variance estimates (standard errors) that are unduly small, which can lead to false positives– incorrectly inferring that an observed effect is real.

Just fiddling around with web scraping and twitter functionality.