Applied Statistics Using R: A Guide for the Social Sciences

This book is a practical guide for learning to use R for data analysis, covering descriptive statistics, regression, and advanced techniques like structural equation modeling and Bayesian statistics. It provides step-by-step instructions, examples, and online resources to help beginners become confident in using R for their research.

Format: Paperback / softback
Length: 472 pages
Publication date: 30 November 2021
Publisher: SAGE Publications Ltd

If you're looking to dive into the world of data analysis with R but feel unsure about where to begin, this comprehensive and practical guide is here to lend you a hand. By drawing on real-world data, it showcases various techniques and helps you advance your programming and statistics knowledge, enabling you to apply the most suitable tools for your research.

The book starts with an introduction to descriptive statistics, guiding you through the fundamentals and gradually progressing to more advanced topics such as regression, structural equation modeling, and Bayesian statistics. Each concept is explained in detail, making it accessible to beginner researchers with a solid mathematical foundation.

Throughout the book, you'll learn how to use R packages and apply functions, tailoring them to suit different datasets. You'll gain hands-on experience with statistical techniques, empowering you to become confident in their application. The authors encourage an active learning approach by providing code snippets that you can run and adapt, allowing you to actively engage with the material and gain a deeper understanding.

Furthermore, the book addresses the challenges of working with real data, which may be messy or imperfect. It equips you with solutions and techniques to handle such scenarios, ensuring that you can overcome obstacles and extract valuable insights from your data.

To enhance your learning experience, the book is accompanied by online resources including screencast tutorials, R scripts, and datasets. These resources provide step-by-step guidance and allow you to practice with the techniques covered in the book, further solidifying your understanding and skills.

Whether you're a student of applied statistics or quantitative research methods courses, this book serves as an invaluable companion. It provides a comprehensive roadmap for learning R, enabling you to unlock the power of data analysis and make meaningful contributions to your field. So, take the first step towards your data analysis journey with this comprehensive and user-friendly guide.

Weight: 886g
Dimension: 240 x 169 x 26 (mm)
ISBN-13: 9781526476227