Paperback. This book focuses on the process of preparing raw data for analysiscommonly 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. 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 from the accompanying website. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: Preparing Data for Analysis (Paperback)
Publisher: Sage Publications Inc Ebooks, Thousand Oaks
Publication Date: 2025
Language: English
ISBN 10: 1071919563
ISBN 13: 9781071919569
Binding: Paperback
Condition: new

About this title

Synopsis

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.

About the Author

Bianca Manago is an Assistant Professor of Sociology at Vanderbilt University. She has taught both graduate and undergraduate statistics courses and has also taught workshops on data cleaning and workflow for Statistical Horizons. She received her doctorate in sociology and master’s in applied statistics from Indiana University. She also has a master’s in sociology and undergraduate degrees in sociology and philosophy from Texas A&M University.

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