Preparing Data for Analysis

From Raw to Ready

Bianca Manago

• Publisher: SAGE Publications, Inc
• Year: 2025
• Print ISBN: 9781071919569
• eBook ISBN: 9781071919590
• Edition: 1
• Topic: Social Sciences
• Subtopic: Social Science Research & Methodology
• Index: Social Sciences

This book focuses on the process of preparing raw data for analysis—commonly known as data cleaning. It covers a range of topics including data compilation, variable naming and labeling, data examination, and variable re-coding and transformations, among others. Author Bianca Manago discusses best practices for data preparation and analysis, emphasizing the importance of prioritizing transparency, best practices for writing script files, and file naming and organization. Two example projects and datasets are used to illustrate the methods in the book, and the datasets, script files, and output files in both R and Stata are available to download at https://github.com/biancamanago/DataPreparation_QASS2025.

Table of contents

• Cover
• Acknowledgements
• Acknowledgements
• Half Title
• Acknowledgements
• Title Page
• Copyright Page
• Brief Contents
• Detailed Contents
• Series Editor Introduction
• Preface
• Acknowledgments
• About the Author
• Part I Introduction
• Chapter 1. Data Preparation: The Need for Strategy and Transparency
• Chapter 2. Software and Script File Considerations
• Chapter 3. File Organization and Naming
• Part II CLEANR Method
• Chapter 4. Introduction
• Chapter 5. Compiling Data
• Chapter 6. Labeling and Naming Variables and Values
• Chapter 7. Examining Data
• Chapter 8. Addressing Data Problems
• Chapter 9. New Variable Creation
• Chapter 10. Reconfigure, Reexamine, and Review
• Part III Review and Conclusion
• Chapter 11. CLEANR in Practice
• Chapter 12. Conclusion
• References
• Index