research

A template for writing reports in APA format using the LaTeX typesetting engine. The heavy lifting is done by the apa6 package, but this saves the user some time writing out code to get started.

This is the Ruby-based command line tool I wrote to collect the music-related data that were content-analyzed in Long & Eveland (2021; published online 2018).

This is an R package that contains tools for the management and analysis of panel data. The main contributions are a panel_data object class designed to make panel-specific functions easier to handle and wbm, a procedure for fitting within-between regression models.

Previously part of the jtools package, this provides a set of functions that aid the analysis of statistical interactions. It implement simple slopes analysis, the calculation of Johnson-Neyman intervals, and plots for understanding interaction effects.

An expanding collection of tools I originally created to aid in my own research. The unifying theme is the ability to report and visualize the results of regression models. Most popular are functions that provide a streamlined, customizable summary of regressions (including robust standard error support) in the console, HTML/LaTeX/Word tables, and coefficient plots. A few other tools have been described in my blog and elsewhere.

Observers note that in the 2020 Democratic primary, candidate support in polls is closely correlated with the amount of attention candidates get in the news. This begs the question of whether and how these two things might be causally related, particularly whether news coverage is helpful to candidates. Here I show some evidence that news coverage does indeed help.