Best Practices in Data Cleaning: Everything you need to do before and after you collect your data

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 to 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 is indispensable.

Author: Jason W. Osborne
Publisher: Independently Published
Published: 01/01/2013
Pages: 282
Binding Type: Paperback
Weight: 0.84lbs
Size: 9.00h x 6.00w x 0.59d
ISBN13: 9781090350435
ISBN10: 1090350430
BISAC Categories:
- Social Science | Research
- Reference | Research
- Science | Research & Methodology

This title is not returnable