Sunday, July 11, 2010

Free PDF Best Practices in Data Cleaning: A Complete Guide to Everything You Need to Do Before and After Collecting Your DataBy Jason W. Osborne

Free PDF Best Practices in Data Cleaning: A Complete Guide to Everything You Need to Do Before and After Collecting Your DataBy Jason W. Osborne

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Best Practices in Data Cleaning: A Complete Guide to Everything You Need to Do Before and After Collecting Your DataBy Jason W. Osborne

Best Practices in Data Cleaning: A Complete Guide to Everything You Need to Do Before and After Collecting Your DataBy Jason W. Osborne


Best Practices in Data Cleaning: A Complete Guide to Everything You Need to Do Before and After Collecting Your DataBy Jason W. Osborne


Free PDF Best Practices in Data Cleaning: A Complete Guide to Everything You Need to Do Before and After Collecting Your DataBy Jason W. Osborne

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Best Practices in Data Cleaning: A Complete Guide to Everything You Need to Do Before and After Collecting Your DataBy Jason W. Osborne

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.

  • Sales Rank: #45050 in Books
  • Brand: Brand: SAGE Publications, Inc
  • Published on: 2012-01-10
  • Original language: English
  • Number of items: 1
  • Dimensions: 8.90" h x .80" w x 5.90" l, .75 pounds
  • Binding: Paperback
  • 296 pages
Features
  • Used Book in Good Condition

Review
“This book provides the perfect bridge between the formal study of statistics and the practice of statistics. It fills the gap left by many of the traditional texts that focus either on the technical presentation or recipe-driven presentation of topics.” (Elizabeth M. Flow-Delwiche 2011-10-27)

“The first comprehensive and generally accessible text in this area.” (J. Michael Hardin 2011-10-27)

About the Author

Jason W. Osborne is Associate Provost and Dean of the Graduate School at Clemson University in Clemson, South Carolina.  He is also Professor of Applied Statistics in the Department of Mathematical Sciences, with a secondary appointment in Public Health Science.  He teaches and publishes on "best practices" in quantitative and applied research methods. He has served as evaluator or consultant on projects in public education (K-12), instructional technology, higher education, nursing and health care, medicine and medical training, epidemiology, business and marketing, and jury selection in death penalty cases. He served as founding editor of Frontiers in Quantitative Psychology and Measurement and has been on the editorial boards of several other journals (such as Practical Assessment, Research, and Evaluation). Jason also publishes on identification with academics (how a student's self-concept impacts motivation to succeed in academics) and on issues related to social justice and diversity (such as Stereotype Threat). He is the very proud father of three, and holds the rank of third degree black belt in Songahm Tae Kwon Do. The rest is subject to change without notice (as Anne McCaffrey wrote in her bio).  

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Best Practices in Data Cleaning: A Complete Guide to Everything You Need to Do Before and After Collecting Your DataBy Jason W. Osborne PDF

Best Practices in Data Cleaning: A Complete Guide to Everything You Need to Do Before and After Collecting Your DataBy Jason W. Osborne PDF
Best Practices in Data Cleaning: A Complete Guide to Everything You Need to Do Before and After Collecting Your DataBy Jason W. Osborne PDF

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