🟢️ The output from this repo can be viewed at https://digital-wellbeing.github.io/platform-study-rr/. 🟢️
This repo documents the data and analysis code for our project on the relationship between video game play and wellbeing. It has four main components:
To reproduce the project in its entirety, run quarto render --profile internal (for lab members), or quarto render --profile external (for non-lab members). More details are provided below.
Data files are saved as .csv.gz for space efficiency. These can either be unzipped and opened in a spreadsheet program, or read directly into R using readr::read_csv() or Python using pandas.read_csv().
The first script generates a series of 8 simulated data tables, overviewed in codebook.xlsx. Generating the simulated data is only possible by internal users, but the code is available in 0_generateSyntheticData.qmd. The remaining scripts can be run by external users.
These data tables are generated in the following scripts:
0_generateSyntheticData.qmd, we simulate a total of 8 data tables that will mimic the structure of the eventual1_preprocess.qmd, we clean the data and calculate relevant derived variables (e.g., mean scores, play behavior metrics, and so on).We then analyze these data in the following scripts:
2_basicNeeds.qmd, we present the analysis code for Study 1: the relationship between basic needs and video game play.3_sleep.qmd, we present the analysis code for Study 2: the relationship between sleep and video game play.4_genres.qmd, we present the analysis code for Study 3: the relationship between video game genres and video game play.9_screenshots.qmd, we present work-in-progress optical character recognition code for extracting screen use data from iOS screenshots. .Renviron defines the path to key internal data files and API credentials.index.qmd is the header file that stitches the other Quarto files together into book form. _quarto.yml defines the order in which files are run and project-level variables for internal use _quarto-external.yml defines the order in which files are run and project-level variables for external use (same as _quarto-internal.yml with the exception of not running 0_generateSyntheticData.qmd)For external use (non-lab members), run quarto render --profile external in the Rstudio terminal to render all of the quarto files except 0_generateSyntheticData.qmd, which requires internal credentials. This command uses the specifications in _quarto-external.yml to render the files in the correct order (indicated by their number), and output them to outputs/.
For internal use, run quarto render in the Rstudio terminal to render all quarto files. This command uses the specifications in _quarto-internal.yml to render the files in the correct order (indicated by their number), and output them to docs/. The files in docs/ are hosted on GitHub pages here: https://digital-wellbeing.github.io/platform-study-rr/.