# Main **Repository** forVogel, D., & Willems, J. (2020). The Effects of Making Public Service Employees Aware of Their Prosocial and Societal Impact: A Microintervention study. *Journal of Public Administration Research and Theory*, 30(3), 485–503. https://doi.org/10.1093/jopart/muz044 An **open access version** of the article is available here: https://doi.org/10.31235/osf.io/xatcn The **codebook** for the data can be found here: https://dominikvogel.github.io/helping-others-micro-intervention/ A **long-time archived** version of the data and code is available at https://doi.org/10.5281/zenodo.3570986 There is a **Code Ocean Capsule** for long-term computational reproducibility: https://doi.org/10.24433/CO.2463564.v1. See below for more information. The **GitHub repository** provides another way to computationally reproduce the results using [Binder][1]: https://github.com/DominikVogel/helping-others-micro-intervention. See below for more information. ``Docker-Capsule.zip`` contains a **Docker image** that can be run locally and ensures long-term reproducibility. See below for more information. # Reproducibility ## Using Code Ocean You can easily reproduce our results using the free service of [Code Ocean][2]: 1. Open the paper's Code Ocean Capsule: https://doi.org/10.24433/CO.2463564.v1 2. Log-in to Code Ocean 3. Click *Re-Run* 4. Code Ocean runs a virtual environment and produces a PDF with the full paper including all results. You can inspect the *R* code by clicking on the files in the left panel (see below for an explanation of the file structure). @[osf](qw3p2) (Full screen video here: https://osf.io/xh9np/) ## Using Binder You can also reproduce our results and even test how changes in the code affect the results by using the [Binder][3] environment of the paper: 1. Go to the paper's GitHub repository: https://github.com/DominikVogel/helping-others-micro-intervention 2. Click on the "Launch Binder" badge 3. Wait for the server to be started 4. Open `code/Paper.Rmd` in the right panel 5. Click on `Knit` -> `Knit to pdf_document2` 6. Wait for a complete reproduction of the paper with all results. @[osf](r2uhd) (Full screen video here: https://osf.io/bfktv/) ## On your own machine (using your own *R* installation) If you want to reproduce our results on your own computer you need *R* (we used version 3.5.3) and RStudio. 1. Download the full OSF Storage of the Project (including `.here` and the folders `code` and `data` 2. Make sure that you installed all required packages (see below for a list of required packages) 3. Open `code/Paper.Rmd` in RStudio. 4. Press `Knit` and than select `Knit to pdf_document2` 5. *R* runs all analyses and creates the full paper as a PDF document. ## On your own machine (using Docker) 1. Install Docker Community Edition 2. Download the `Docker-Capsule.zip` file and extract it 3. Open a Terminal and navigate to the extracted folder 4. Execute the following command: ```shell docker load --input micro-intervention.tar docker run --rm \ --workdir /code \ --volume "$PWD/data":/data \ --volume "$PWD/code":/code \ --volume "$PWD/results":/results \ micro-intervention run ``` # File structure The repository consists of some files in the root folder and two folders. * `.here` is an empty file that helps the `here` package to set the right working directory in *R*. * `/data` contains the data of the paper in three CSV files: * `Study1_public.csv`: Data for Study 1 * `Study2_public.csv`: Data for Study 2 * `Study3_public.csv`: Data for Study 3 * `/code` contains all scripts and files necessary to reproduce the results: * `Paper.Rmd`: main file containing the text of the paper and loads all analyses. * `Paper_functions.R`: Custom functions * `Paper_s1.R`: Analysis code for Study 1 * `Paper_s2.R`: Analysis code for Study 2 * `Paper_s3.R`: Analysis code for Study 3 * `Paper_BF.R`: Code to calculate Bayes factors * `Paper_forestplot_prosocial.R`: Code to create left part of Figure 5 * `Paper_forestplot_societal.R`: Code to create right part of Figure 5 * `Bibliography.bib`: References used in the paper (in BibTeX format) * `chicago-author-date.csl`: Defines references style * `latex_template.tex`: LaTeX template for the PDF document * `CONSORT.pdf`: CONSORT flow chart of Study 1 for the Appendix * `CONSORT2.pdf`: CONSORT flow chart of Study 2 for the Appendix * `CONSORT3.pdf`: CONSORT flow chart of Study 3 for the Appendix * `forestplot_combined.pdf`: Figure 5 (merge of figures created by `Paper_forestplot_prosocial.R` and `Paper_forestplot_societal.R` # Required R packages * apaTables * BayesFactor * bookdown * broman * cowplot (<= 0.9.4) * dplyr * effsize * ez * forestplot * ggsignif * here * knitr * MBESS * nlme * psych * rlang * rmarkdown * sjstats * stargazer * stats * tibble * tidyverse * weights * xtable It is advised to use `R` version 3.5.3 with the `checkpoint` package and set the date to 2019-04-01 to ensure that the package versions are comparable: ```R library(checkpoint) checkpoint("2019-04-01") ``` [1]: https://mybinder.org [2]: https://codeocean.com [3]: https://mybinder.org