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

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SAGE, Jan 10, 2012 - Reference - 275 pages
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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.
 

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Contents

Debunking the Myth of Robustness
1
Section I Best Practices as You Prepare for Data Collection
17
Debunking the Myth of Adequate power
19
Debunking the Myth of Representativeness
43
debunking the Myth of Equality
71
Section II Best Practices in Data Cleaning and Screening
85
Debunking the Myth of Perfect Data
87
Debunking the Myth of Emptiness
105
Debunking the Myth of Perfect Measurement
191
Section III Advanced Topics in Data cleaning
211
debunking the Myth of the Motivated Participant
213
Debunking the Myth of Categorization
231
Lots of Pits in Which to Fall
253
Visions of Rational Quantitative Methodology for the 21st Century
261
Name Index
265
Subject Index
269

Debunking the Myth of Equality
139
debunking the Myth of Distributional Irrelevance
169

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About the author (2012)

Jason W. Osborne is Professor and Department Chair (effective July 2013) of Educational and Counseling Psychology at the University of Louisville. 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 is chief editor of Frontiers in Quantitative Psychology and Measurement as well as being involved in several other journals. 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 along with his two sons, is currently a second degree black belt in American Tae Kwon Do.

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