Download the fantastic book titled Best Practices in Data Cleaning written by Jason W. Osborne, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Best Practices in Data Cleaning", which was released on 03 June 2024. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Social Science genre.
Summary of Best Practices in Data Cleaning by Jason W. Osborne PDF
Many researchers jump straight from data collection to data analysis without realizing how analyses and hypothesis tests can go profoundly wrong without clean data. This book provides a clear, step-by-step process of examining and cleaning data in order to decrease error rates and increase both the power and replicability of results. Jason W. Osborne, author of Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are research-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. If your goal is to do the best research you can do, draw conclusions that are most likely to be accurate representations of the population(s) you wish to speak about, and report results that are most likely to be replicated by other researchers, then this basic guidebook will be indispensible.
Detail About Best Practices in Data Cleaning PDF
- Author : Jason W. Osborne
- Publisher : SAGE
- Genre : Social Science
- Total Pages : 297 pages
- ISBN : 1412988012
- Release Date : 03 June 2024
- PDF File Size : 47,7 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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