This repository contains the replication files for
Skinner, B.T. (2019). Making the connection: Broadband access and online course enrollment at public open admissions institutions. Research in Higher Education, 1-40.
To run the core analyses, you will need the following programs on your machine (tested on MacOS):
brew install unar
You can also use Homebrew to update Bash, git, and sqlite if you want, though that shouldn't be necessary a relatively modern machine.
To replicate analysis and tables, clone or download the repository, and choose one of the following methods:
If your machine has make, simply run the makefile from the terminal
This makefile will
- download and install all required R packages
- download all required data files
- build/clean data
- run analyses
- knit tables/figures
At the top of the makefile, adjust the settings to best your machine. The defaults should work for most users:
# --- settings ----------------------------------- # set to https or ssh (probably https for most) git_type := https # cores (used when building cmdstan) cores := 4
You can you can also run the scripts one by one. You will need to:
- Get the data files listed in
- Build Broadband database using scripts in
cd ./scripts/bash ./make_bb.sh ../../data/broadband/zip ../../data/broadband .
- Download required R packages, found in
- Clean IPEDS using
- Clean Broadband using
- Clean data using
- Download and build CmdStan
- Run analyses using
# example call (assuming in ./scripts/bash directory) ./run_stan.sh ../stan/sl_normal ../../data/cleaned sl_normal full ../../output both ../r
- Make figures using
- Knit tables and figures document using
NB Most R scripts assume command line arguments. If you are not using
makefile or calling from the command line, you will need to replace
args object with a vector of the proper paths indicated in the files.