Replication package for Spoiling the party

This replication package contains material to replicate the data collection and analysis for the paper: Spoiling the party. Experimental evidence on the willingness to transmit inconvenient ethical information By: Jantsje M. Mol, Ivan Soraperra and Joel J. van der Weele In: Experimental Economics, February 2025 1. Raw data files ("df_anonymous.csv" in "Analysis in R" folder) 2. Programs to clean and analyze the data "Analysis in R" folder: - "df_anonymous.csv" (data files including timestamps, excluding prolific_ids) - "Codebook.xlsx" (identifies variable names) - "analysis_button.html" (output of an R Markdown file, to be opened in a browser) - "output" folder --- "figures" folder (containing all figures in PDF resulting from the R markdown) --- "code" folder ------- preparation.R (data preparation, renaming variables and removing sensitive data) ------- analysis_button.Rmd (R markdown file) ------- final_redcross_payment.R (to determine the total payoff to the charity) 3. Programs to collect experimental data ("oTree files for deployment on Heroku.zip") ! Version history of this folder can be found at https://github.com/jantsje/a-red-button-heroku 4. An original version of the experimental instructions ("Experimental instructions.pdf")

Publication Details

Journal
Open Science Framework
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/mzpty
Primary Topic
Data Analysis with R
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Replication package for Spoiling the party

Open Science Framework
Data Analysis with R
article

Replication package for Spoiling the party

article en

Abstract

This replication package contains material to replicate the data collection and analysis for the paper: Spoiling the party. Experimental evidence on the willingness to transmit inconvenient ethical information By: Jantsje M. Mol, Ivan Soraperra and Joel J. van der Weele In: Experimental Economics, February 2025 1. Raw data files ("df_anonymous.csv" in "Analysis in R" folder) 2. Programs to clean and analyze the data "Analysis in R" folder: - "df_anonymous.csv" (data files including timestamps, excluding prolific_ids) - "Codebook.xlsx" (identifies variable names) - "analysis_button.html" (output of an R Markdown file, to be opened in a browser) - "output" folder --- "figures" folder (containing all figures in PDF resulting from the R markdown) --- "code" folder ------- preparation.R (data preparation, renaming variables and removing sensitive data) ------- analysis_button.Rmd (R markdown file) ------- final_redcross_payment.R (to determine the total payoff to the charity) 3. Programs to collect experimental data ("oTree files for deployment on Heroku.zip") ! Version history of this folder can be found at https://github.com/jantsje/a-red-button-heroku 4. An original version of the experimental instructions ("Experimental instructions.pdf")

Open Science Framework
Openalex Percentile: Top 74%
Data Analysis with R
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.