Best Practices in Data Cleaning is popular PDF and ePub book, written by Jason W. Osborne in 2013, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Best Practices in Data Cleaning can be Read Online from any device for your convenience.
Best Practices in Data Cleaning Book PDF Summary
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 Book of Best Practices in Data Cleaning PDF
- Author : Jason W. Osborne
- Release : 21 September 2024
- Publisher : SAGE
- ISBN : 9781412988018
- Genre : Mathematics
- Total Page : 297 pages
- Language : English
- PDF File Size : 16,9 Mb
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