Quantitative Social Science Data with R: An Introduction
Language: English
Published by SAGE Publications Ltd, 2018
- Softcover
- Used

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Add to basketItem description from seller
"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.…
Seller Inventory # CIN1526411504G
- Title
- Quantitative Social Science Data with R: An Introduction
- Author
- Brian J Fogarty
- Publisher
- SAGE Publications Ltd
- Publication year
- 2018
- Condition
- Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1526411504
- ISBN 13
- 9781526411501
"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.
"Synopsis" may belong to another edition of this title.
About the Author
Before joining Notre Dame, he was a lecturer in quantitative social science at the University of Glasgow’s Q-Step Centre. Prior to joining Glasgow, he was an associate professor of political science at the University of Missouri – St. Louis. He received his Ph.D. in political science from the University of North Carolina – Chapel Hill.
"About the title" may belong to another edition of this title.
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