Executable Environment for OSF Project 25a6x

This repository was automatically generated as part of a project to test the reproducibility of open science projects hosted on the Open Science Framework (OSF).

Project Title: Causal Beliefs for Socioeconomic Status Attainment Scale: Development and Validation

Project Description:

Materials (Codebook + R Scripts) for SES Causal Beliefs Scale Paper.

Citation: Im, H. & Shane, J. (Pending Editor Decision). Causal Beliefs for Socioeconomic Status Attainment Scale: Development and Validation. Journal of Social Psychology.

Original OSF Page: https://osf.io/25a6x/

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Important Note: The contents of the 25a6x_src folder were cloned from the OSF project on 12-03-2025. Any changes made to the original OSF project after this date will not be reflected in this repository.

The DESCRIPTION file was automatically added to make this project Binder-ready. For more information on how R-based OSF projects are containerized, please refer to the osf-to-binder GitHub repository: https://github.com/Code-Inspect/osf-to-binder

How to Launch:

Launch in your Browser:

🚀 MyBinder:

• This will launch the project in an interactive RStudio environment in your web browser.
• Please note that Binder may take a few minutes to build the environment.

🚀 NFDI JupyterHub:

• This will launch the project in an interactive RStudio environment on the NFDI JupyterHub platform.

Access Downloaded Data: The downloaded data from the OSF project is located in the 25a6x_src folder.

Run via Docker for Long-Term Reproducibility

In addition to launching this project using Binder or NFDI JupyterHub, you can reproduce the environment locally using Docker. This is especially useful for long-term access, offline use, or high-performance computing environments.

Pull the Docker Image

docker pull meet261/repo2docker-25a6x:latest

Launch RStudio Server

docker run -e PASSWORD=yourpassword -p 8787:8787 meet261/repo2docker-25a6x

Replace yourpassword with a secure password of your choice. You will use this to log in to the RStudio web interface.

Once the container is running, visit http://localhost:8787 in your browser. Use username: rstudio and the password you set with -e PASSWORD=....