Best Practices in Data Cleaning: A Complete Guide to Everything You Need to Do Before and After Collecting Your Data

di Jason W. Osborne (Autore)

SAGE Publications Inc, 2012

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.

• Autore: Jason W. Osborne
• Editore: SAGE Publications Inc
• Anno: 2012
• Rilegatura: Paperback / softback
• Pagine: 296 p.
• Dimensioni: 228 x 152 mm
• Peso: 400 gr.
• EAN: 9781412988018

Testo in English