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# Repository Structure ## Web Appendix This folder contains the web appendix of the paper. ## distBuilder Demo This folder contains a demo of the distBuilder library. To run it, simply clone the folder and open the `.html` file. ## Pre-Registrations This folder contains the pre-registrations of studies 2, 3 and 4. ## HTML Notebooks This folder contains the HTML exports of the notebooks used to generate the analysis and figures. They contain the code, but they are not interactive. Check the "Reproducible Analysis" folder for the interactive notebooks. ## Reproducible Analysis This folder contains all the elements required to fully reproduce the figures and statistical analysis reported in the paper. To do so: 1. Clone the repository 2. Run `conda create --name dispersion-spillover --file environment.yml` to create a conda environment with all the required libraries. You will need to install the [Anaconda Distribution][1] first if you do not have it. 3. Activate the environment using `conda activate dispersion-spillover`. 4. Open the notebooks and run them. This folder contains the following subfolders: ### Figures This subfolder contains all the figures of the paper ### Notebooks This subfolder contains the Jupyter notebooks used to pre-process the data, generate the graphs, and conduct the statistical analysis for all studies. * The **Processing** notebooks contain the data processing scripts, and convert the raw data into csv files that can be used for statistical analysis. * The **Analysis** notebooks are used to generate the analysis and graphs. ### Data This subfolder contains the raw data, analysis-ready data, and codebooks for all studies. ### Study Materials This subfolder contains the Qualtrics exports and Word file describing the experiments. ### Templates This subfolder contains HTML templates used to create prettier tables in the Jupyter notebook. You can ignore it. [1]: