COVID-19 Mask Wearing: Longitudinal Analyses

Using longitudinal random-intercept cross-lagged panel modelling to study the antecedents of mask wearing in the United States.

Getting Started

Downloading data

All data for this project can be found in the /data folder. To download the data, either git clone this repository or download the repository as a .zip file.

Installing

To run this code, you will need to install R and the following R packages:

install.packages(c("arm", "broom.mixed", "cowplot", "dagitty", "ggarchery",
                   "ggdag", "ggeffects", "ggraph", "huxtable", "jtools", 
                   "knitr", "kableExtra", "lavaan", "lme4", "lmerTest", 
                   "lubridate", "MuMIn", "papaja", "rnaturalearth", 
                   "rnaturalearthdata", "scales", "semTools", "sf", 
                   "targets", "tarchetypes", "tidyverse", "zipcodeR"))

Executing code

1. Set the working directory to this code repository setwd("myPath/covidMaskWearing") on your local machine
2. Load the targets package with library(targets)
3. To run all analyses, run tar_make()
4. To load individual targets into your environment, run tar_load(riclpm) etc.
5. You can then view the model parameters by loading the lavaan package with library(lavaan) and then running summary(riclpm)

Help

Any issues, please email scott.claessens@gmail.com.

Authors

Scott Claessens, scott.claessens@gmail.com