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From Social Science to Data Science

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Teaching Resources

 

R/RStudio, IBM SPSS, Stata, and other software

 

Editor's Choice

 

Quantitative Social Science Data with R 2nd Edition 

 

 Quantitative Social Science Data with R, 2nd Edition
Brian J. Fogarty

Designed for educators and students, this comprehensive text offers a gradual introduction to quantitative research, statistics, and R software, using real-world social science examples. It equips students to:

  • Analyse quantitative data effectively
  • Navigate ethical considerations
  • Gather quantitative data
  • Manage, document, and share data efficiently

Enhanced by a wealth of digital resources, including online tutorials, videos, datasets, and quizzes, this book not only imparts knowledge but also provides opportunities for hands-on learning and application.

 

 

 

 


Bayesian Methods of Statistics

Explore probability and statistics from a Bayesian point of view using online resources for support.

Bayesian Methods in Statistics
Mel Slater

Analyzing Social Networks using R

Walks you through every step of doing social network analysis, and explore datasets and worked examples.

Analyzing Social Networks using R
Stephen P. Borgatti, Martin G. Everett, Jeffrey C. Johnson, Filip Agneessens

 

Adventures in Social Research 11th Edition

 

Work with Stata codes and datasets, read journal articles, take quizzes, and download lecture slides.

 Adventures in Social Research, 11th Edition
Earl Babbie, William E. Wagner III, Jeanne Zaino

Applied Statistics using Stata 2nd Edition

Work with Stata codes and datasets, read journal articles, take quizzes, and download lecture slides.

Applied Statistics Using Stata, 2nd Edition
Mehmet Mehmetoglu, Tor Georg Jakobsen

 

R

R U Ready

Why universities are switching to R for teaching social science
Sage Campus Blog

Statistics, data analysis and data visualisation are a crucial aspect of social science degrees - across disciplines from psychology to political science and across levels, from undergraduate to postgraduate. For higher education institutions, the most popular statistical software package for teaching this aspect of the social sciences has traditionally been IBM’s Statistical Package for the Social Sciences (SPSS).

However, in recent years, digitalization and the explosion of big data has led to demand for data science skills and big data software. We’ve seen new statistical software packages on the block, while others have improved or grown in popularity. Consequently, higher education institutions are realising that SPSS isn’t the only fish in the sea....

read the FULL blog post

 

 

 

Applied Statistics using R

 Applied Statistics using R
Mehmet Mehmetoglu, Matthias Mittner 

 

 

Software Links