Replicable code: On Volatility and Parties’ Potential for Growth in Multiparty Systems: The Case of the 2022 Quebec Election

This README follows the guidelines for data replication of The Journal of Politics of the University of Chicago Press. These guidelines can be found here: https://www.journals.uchicago.edu/journals/jop/data-replication

This article can be replicated using R version 4.1.3. We consider opening the article_riding-volatility.Rproj to work in this repo.

Packages to install

devtools::install_github("clessn/clessnverse")

Ethical constraints

The surveys used in this article were exclusive, and access to the data was conditional upon signing an ethics form. As a result, the table1_respondentsRCI dataset presented here is a shortened version of the full dataset used in this study. If you are interested in accessing additional variables or data, please contact us at [email protected] to discuss the possibility of obtaining access.

In the mrp folder where basic socio-demographic variables are necessary, the mrp/codes/1_simulate_survey_data.R allows the replicator to simulate the individual socio-demographic variables of respondents.

Datasets

Information about the datasets are in the codebook.md file.

Code files

functions.R

This script contains relevant functions to the analysis. It can be sourced at the start of coding files.

generate_table3.R

This script merges data from data/table1_respondentsRCI, data/table2_duringCampaign and mrp/data/table_post_strat_fragility to generate table3_aggregatedData. It aggregates data from table1_respondentsRCI and table2_duringCampaign at the riding-level to calculate the vote fragility index (with and without MRP) and campaign volatility for each riding. It is not needed to run this script as table3_aggregatedData is already in the data folder.

figure1_rciDistribution.R

This script takes data from table1_respondentsRCI to generate graphs/figure1_rciDistribution.png.

figure2_RCI_prob_voteInt.R

This script takes data from data/table1_respondentsRCI.rds, mrp/data/simulated_survey_data.rds and mrp/data/post_strat_table.rds to generate figure2_prob_voteInt.png.

figure3_fragilityIndexDistribution.R

This script takes data from table3_aggregatedData to generate graphs/figure3_fragilityIndexDistribution.png.

figure4_campaignVolatilityDistribution.R

This script takes data from table3_aggregatedData to generate graphs/figure4_campaignVolatilityDistribution.png.

figure5_fragilityVSvolatility.R

This script takes data from table3_aggregatedData to generate graphs/figure5_fragilityVSvolatility.png.

chi_square_test.R

This script takes data from table3_aggregatedData to do a chi-squared test. You can read this section of An Introduction to Political and Social Data Analysis Using R of Thomas M. Holbrook for more documentation about the chi-squared test.

regressions.R

This script takes data from data/table3_aggregatedData.rds and mrp/data/census_data.rds to generate the regression table presented in this article.