Publications by Sebastien Parker
Replication Example 3
In this third example, we will replicate: “Intergenerational Social Mobility Among the Children of Immigrants in Western Europe: Between Socioeconomic Assimilation and Disadvantage” by Mauricio Bucca & Lucas Drouhot. Full replication files here: https://osf.io/4tjfq/?view_only=2894f243dc524ba8b129153e150715e3 Note: their files implement the pac...
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Replication Example 1
Introduction This tutorial walks through replicating key parts of Barum Park’s paper “Was There a Culture War? Partisan Polarization and Secular Trends in U.S. Public Opinion” using GSS data from 1972-2022. Note 1: We are using the full current GSS dataset until 2022. The paper is based on data until 2012. So we are replicating as well as upd...
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Replication Example 2
This is a direct replication of the files provided by: Lea Elsässer, Svenja Hense, Armin Schäfer on their GitHub page. In this file, we reproduce the analyses for the article Not just money: Unequal responsiveness in egalitarian democracies published with the Journal or European Public Policy. The article is based on an original dataset—“Resp...
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Tutorial 8 (252)
Introduction The tutorial is adapted from a blog post by Andrew Heiss, which I strongly recommend to read: https://www.andrewheiss.com/blog/2022/05/20/marginalia/#other-marginal-slope-things Setup environment First, let’s set up our environment by loading the necessary packages: What are Marginal Effects? Marginal effects represent the change i...
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Tutorial 7 (SOC252)
This tutorial covers advanced regression techniques and post-estimation analysis using R. We’ll explore various aspects of regression analysis, including diagnostics, non-linear relationships, generalized additive models (GAMs), interactions, and techniques for making the most of regression results. Setup environment First, let’s set up our en...
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Tutorial 6 (252)
Setting Up R for Analysis First, let’s install and load the necessary packages. This step ensures that we have all the tools we need for our analysis. Data Preparation and Exploration Let’s create a binary outcome variable for Clinton votes in the 2016 election: # Load the States data data(USStates) States <- USStates States$Clinton <- abs(as...
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Tutorial 6 (252)
Setting Up R for Analysis First, let’s install and load the necessary packages. This step ensures that we have all the tools we need for our analysis. Data Preparation and Exploration Let’s create a binary outcome variable for Clinton votes in the 2016 election: # Load the States data data(USStates) States <- USStates States$Clinton <- abs(as...
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Tutorial 5 (SOC252)
Introduction This tutorial covers how to perform Multiple Linear Regression (MLR) and interactions in R, including how to produce and interpret regression tables using sjPlot. We’ll use two datasets to start: HappyPlanetIndex (for global data) and States (for US state-level data). Setting Up R for Analysis First, let’s install and load the nec...
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Tutorial 4 (SOC252)
# List of packages packages <- c("tidyverse", "fst", "modelsummary", "broom", "sjPlot", "ggplot2", "car", "Lock5Data", "mosaic") # add any you need here # Install packages if they aren't installed already new_packages <- packages[!(packages %in% installed.packages()[,"Package"])] if(length(new_packages)) install.packages(new_packages) # Load the ...
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Tutorial 3 (252)
# List of packages packages <- c("tidyverse", "fst", "modelsummary", "viridis", "kableExtra", "flextable", "officer") # add any you need here # Install packages if they aren't installed already new_packages <- packages[!(packages %in% installed.packages()[,"Package"])] if(length(new_packages)) install.packages(new_packages) # Load the packages la...
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