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Supplementary Materials for ``Quantitative Social Science: An Introduction''

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QSS (Quantitative Social Science) Build Status

Supplementary Materials for the book, Quantitative Social Science: An Introduction, published by Princeton University Press in 2017. See the book website. It is also available for purchase at vendors like Amazon. Also included are materials for Quantitative Social Science: An Introduction in tidyverse, published by Princeton University Press in 2022. All tidyverse versions contain "-tidy" in their file names.

The book is based on the teaching philosophy summarized in the talk I gave at the Nuffield Foundation's Q-Step Programme in 2015: slides

This repository contains the data sets and R scripts (available in .R, .Rmd, and .pdf formats) for all of the chapters:

  1. Introduction
  2. Causality
  3. Measurement
  4. Prediction
  5. Discovery
  6. Probability
  7. Uncertainty

In addition, the repository contains:

  1. Errata (QSS, QSStidy)
  2. Sample course syllabi

R package qss

The data and code in this repository are also available as an R package qss (see the package website). The code is in the form of vignettes. To install this package, use the following command:

install.packages("devtools") # if you have not installed devtools package already
devtools::install_github("kosukeimai/qss-package", build_vignettes = TRUE)

Once the qss package is installed, you can use the data and vignette:

library(qss)
data(package = "qss") # list all data sets
data(elections) # load the elections data
vignette(package = "qss") # list all vignettes
browseVignettes("qss") # list vignettes and R code
vignette("causality", package = "qss") # show the vignette for the Causality chapter

Related repositories

  1. swirl exercises qss-swirl
  2. Interactive Tutorials for QSS by Matt Blackwell
  3. R package qss (the package website)
  4. tidyverse code qss-tidy by Jeff Arnold (the starting point for the QSS: tidyverse version of the book)
  5. R package qss.student for students by Will Lowe
  6. python code qsspy by Jeffrey Allen
  7. instructors' materials qss-inst
  8. Lecture slides for QSS

The last two repositories are private. Instructors who wish access to these materials should either request access at the book website or email me.