Readme

This repository contains the data and source code for the manuscript "A meta-analysis structural equation model of Mothers’ and Fathers’ unique contributions Parenting Behavior in Association to Children’s Prosocial Behavior: A Meta-Analysis", by Van der Storm, Van Lissa, Lucassen, Helmerhorst, and Keizer, DOI:10.17605/OSF.IO/MHX8E.

Where do I start?

You can load this project in Rstudio by opening the file called storm.Rproj

Project structure

File | Description | Usage
------------------------- | -------------------------------- | -------------- README.md | Description of project | Human editable storm.Rproj | Project file | Loads project LICENSE | User permissions | Read only
.worcs | WORCS metadata YAML | Read only
preregistration.rmd | Preregistered hypotheses | Human editable prepare_data.R | Script to process raw data | Human editable manuscript/manuscript.rmd | Source code for paper | Human editable manuscript/references.bib | BibTex references for manuscript | Human editable renv.lock | Reproducible R environment | Read only

Reproducibility

This project uses the Workflow for Open Reproducible Code in Science (WORCS) to ensure transparency and reproducibility. The workflow is designed to meet the principles of Open Science throughout a research project.

• To learn how WORCS helps researchers meet the TOP-guidelines and FAIR principles, read the preprint at https://osf.io/zcvbs/
• To get started with worcs, see the setup vignette
• For detailed information about the steps of the WORCS workflow, see the workflow vignette
• For a brief overview of the steps of the WORCS workflow, see below.

WORCS: Steps to follow for a project

Phase 1: Study design

1. Create a new (Public or Private) repository on 'GitHub'
2. Create a new RStudio project using the WORCS template
3. Optional: Preregister your analysis
4. Optional: Upload preregistration to another repository
5. Optional: Add study Materials to the repository

Phase 2: Data analysis

1. Load the raw data
2. Save the data using open_data() or closed_data(). Never commit data to 'Git' that you do not intend to share
3. Write the manuscript in manuscript.Rmd, using code chunks to perform the analyses.
4. Commit every small change
5. Cite essential references with @, and non-essential references with @@

Phase 3: Submission/publication

1. Store the R environment by calling renv::snapshot()
2. Optional: Add a WORCS-badge to your README file and complete the optional elements of the WORCS checklist
3. Make the Private 'GitHub' repository Public
4. Create a project page on the Open Science Framework
5. Connect your 'OSF' project page to the 'GitHub' repository](https://help.osf.io/hc/en-us/articles/360019929813-Connect-GitHub-to-a-Project)
6. Add an open science statement to the Abstract or Author notes, which links to the 'GitHub' repository or 'OSF' page
7. Knit the paper to PDF
8. Optional: Publish a preprint
9. Submit the paper, and tag the release of the submitted paper as in Step 3.

Notes for cautious researchers

Some researchers might want to share their work only once the paper is accepted for publication. In this case, we recommend creating a "Private" repository in Step 1, and completing Steps 13-18 upon acceptance.