What do you think?
Rate this book
Quantitative Social Science Data with R: An Introduction
Relevant, engaging, and packed with student-focused learning features, this book provides the basic step-by-step introduction to quantitative research and data every student needs.
Gradually introducing applied statistics and the language and functionality of R and R Studio software, it uses examples from across the social sciences to show students how to apply abstract statistical and methodological principles to their own work. Maintaining a student-friendly pace, it goes beyond a normal introductory statistics book and shows students where data originates and how
- 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 students not only the tools they need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what they have learned.
Gradually introducing applied statistics and the language and functionality of R and R Studio software, it uses examples from across the social sciences to show students how to apply abstract statistical and methodological principles to their own work. Maintaining a student-friendly pace, it goes beyond a normal introductory statistics book and shows students where data originates and how
- 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 students not only the tools they need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what they have learned.
408 pages, Kindle Edition
Published March 11, 2023
9 people are currently reading
15 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 of 1 review
December 1, 2023
God I hat data science I hate hate hate it and this book was sort of helpful but not at all ugh why did I do this program what I need is stats for dummies and stats in the real world not stupid fucking assumptions about your OLS bullshit. What are SSMs and why do I need to calculate just tell me how to understand stats in the news also data is always messy should spend more time ON CLEANING FUCKING DATA (book was actually helpful just mad at this class and lack of teaching in it especially when learning a new language)
Displaying 1 of 1 review