Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R - Softcover

Stanton, Jeffrey M.

 
9781462530267: Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R
Softcover
ISBN 10: 1462530265 ISBN 13: 9781462530267
Verlag: Guilford Publications, 2017

Inhaltsangabe

Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources.
 
Pedagogical Features
*Playful, conversational style and gradual approach; suitable for students without strong math backgrounds.
*End-of-chapter exercises based on real data supplied in the free R package.
*Technical explanation and equation/output boxes.
*Appendices on how to install R and work with the sample datasets. 

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Über die Autorinnen und Autoren

Jeffrey M. Stanton, PhD, is Associate Provost for Academic Affairs and Professor in the School of Information Studies at Syracuse University. Dr. Stanton's interests center on research methods, psychometrics, and statistics, with a particular focus on self-report techniques, such as surveys. He conduct research on a variety of substantive topics in organizational psychology, including the interactions of people and technology in institutional contexts. He is the author of numerous scholarly articles and several books, including Information Nation: Education and Careers in the Emerging Information Professions and An Introduction to Data Science. Dr. Stanton’s background also includes more than a decade of experience in business, both in established firms and startup companies.


Jeffrey M. Stanton, PhD, is Associate Provost for Academic Affairs and Professor in the School of Information Studies at Syracuse University. Dr. Stanton's interests center on research methods, psychometrics, and statistics, with a particular focus on self-report techniques, such as surveys. He has conducted research on a variety of substantive topics in organizational psychology, including the interactions of people and technology in institutional contexts. He is the author of numerous scholarly articles and several books, including Information Nation: Education and Careers in the Emerging Information Professions and The Visible Employee: Using Workplace Monitoring and Surveillance to Protect Information Assets--Without Compromising Employee Privacy or Trust. Dr. Stanton’s background also includes more than a decade of experience in business, both in established firms and startup companies.

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Verlag
Guilford Publications
Erscheinungsdatum
2017
Sprache
Englisch
ISBN 10 
1462530265
ISBN 13 
9781462530267
Einband
Taschenbuch
Anzahl der Seiten
325
Kontakt zum Hersteller
The Guilford Press
https://guilford.com

370 Seventh Avenue, Suite 1200
New York
NY
10001
USA
Verantwortliche Person
Nicht verfügbar

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9781462530274: Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R

Vorgestellte Ausgabe

ISBN 10:  1462530273 ISBN 13:  9781462530274
Verlag: Guilford Press, 2017
Hardcover