Best Practices in Data Cleaning

A Complete Guide to Everything You Need to Do Before and After Collecting Your Data

Nonfiction, Reference & Language, Reference, Research, Social & Cultural Studies, Social Science
Cover of the book Best Practices in Data Cleaning by Jason W. Osborne, SAGE Publications
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Author: Jason W. Osborne ISBN: 9781452289670
Publisher: SAGE Publications Publication: January 10, 2012
Imprint: SAGE Publications, Inc Language: English
Author: Jason W. Osborne
ISBN: 9781452289670
Publisher: SAGE Publications
Publication: January 10, 2012
Imprint: SAGE Publications, Inc
Language: English

Many researchers jump from data collection directly into testing hypothesis without realizing these tests can go profoundly wrong without clean data. This book provides a clear, accessible, step-by-step process of important best practices in preparing for data collection, testing assumptions, and examining and cleaning data in order to decrease error rates and increase both the power and replicability of results.

Jason W. Osborne, author of the handbook Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are evidence-based and will motivate change in practice by empirically demonstrating—for each topic—the benefits of following best practices and the potential consequences of not following these guidelines.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Many researchers jump from data collection directly into testing hypothesis without realizing these tests can go profoundly wrong without clean data. This book provides a clear, accessible, step-by-step process of important best practices in preparing for data collection, testing assumptions, and examining and cleaning data in order to decrease error rates and increase both the power and replicability of results.

Jason W. Osborne, author of the handbook Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are evidence-based and will motivate change in practice by empirically demonstrating—for each topic—the benefits of following best practices and the potential consequences of not following these guidelines.

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