Jason W. Osborne

Professor of Statistics

Miami University
Department of Statistics
311 Upham Hall
Oxford, OH 45056
513-529-7828
osbornjw@miamioh.edu

Osborne, J. W. (2017). Regression and linear modeling: Best practices and modern methods. Thousand Oaks, CA: SAGE Publishing. ISBN #978-1-50630-276-8
Osborne, J. W., & *Banjanovic, E. (2016). Exploratory factor analysis using SAS: Best practices and modern methods. Cary, NC: SAS Publishing. ISBN # 978-1-62960-064-2
Osborne, J. W. (2015). Best practices in logistic regression. Thousand Oaks, CA: SAGE Publishing. ISBN 978-1-4522-4479-2.
Osborne, J. W. (2014). Best Practices in Exploratory Factor Analysis. Scotts Valley, CA: CreateSpace Independent Publishing. ISBN-13: 978-1500594343, ISBN-10:1500594342.
Osborne, J. W. (2013b). Sweating the small stuff: Does data cleaning and testing of assumptions really matter in the 21st century? Lausanne, Switzerland: Frontiers Research Foundation. ISBN 978-2- 88919-155-0.
Osborne, J. W. (2013a). Best practices in data cleaning: A complete guide to everything you need to do before and after collecting your data. Thousand Oaks, CA: SAGE Publishing. ISBN: 9781412988018. Translated into Arabic by International Publishers Association (IPA), Geneva Switzerland.
Osborne, J. W. (2008). Best practices in quantitative methods. Thousand Oaks, CA: SAGE Publishing. (Included in SAGE Research Methods Online). ISBN: 9781412940658.