Quantitative Social Science Data with R
- Brian J. Fogarty - University of Notre Dame, US
"One of the few books that provide an accessible introduction to quantitative data analysis with R. A particular strength of the text is the focus on 'real world' examples which help students to understand why they are learning these methods."
- Dr Roxanne Connelly, University of York
Relevant, engaging, and packed with student-focused learning features, this book provides the step-by-step introduction to quantitative research and data every student needs.
Gradually introducing applied statistics and R, it uses examples from across the social sciences to show you how to apply abstract statistical and methodological principles to your own work. At a student-friendly pace, it enables you to:
- Understand and use quantitative data to answer questions
- Approach surrounding ethical issues
- Collect quantitative data
- Manage, write about, and share the data effectively
Supported by incredible digital resources with online tutorials, videos, datasets, and multiple choice questions, this book gives you not only the tools you need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what you have learned.
Its content meets the learning outcomes of my module, and the last chapter offers a comprehensive overview of the data analysis procedure. It is a great book that offers Intro to statistististics, and data analysis using R for social scientists. To complement the book, I intend to modify some codes to demonstrate the tidyverse approach.
Not adopted at the general reading list, but I recommend it to students planning to use R
This is a very good read for students interested in a more quantitative approach to big data in media studies.
Still to make some changes to our course scope, but this is a perfect book.
An excellent, very accessible and up-to-date textbook for teaching R to social scientists!
It covers all aspects of a standard curriculum and thus provides a concise and very useful introduction.