Ssd for R: An R Package For Analyzing Single-Subject Data
Language: English
Published by Oxford University Press (edition 1), 2014
- Softcover
- Used

Seller: BooksRun, Philadelphia, PA, U.S.A.BooksRun
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Condition: Used - Good
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It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Ex-Library.
Seller Inventory # 0199343594-11-1-12
- Title
- Ssd for R: An R Package For Analyzing Single-Subject Data
- Author
- Auerbach, Charles
- Publisher
- Oxford University Press (edition 1)
- Publication year
- 2014
- Condition
- Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0199343594
- ISBN 13
- 9780199343591
- Edition
- 1.
SSD for R has numerous graphing and charting functions to conduct robust visual analysis. Besides the ability to create simple line graphs, additional features are available to add mean, median and standard deviation lines across phases to help better visualize change over time. This book also contains numerous tests of statistical significance, such as t-tests, chi-squares and the conservative dual criteria. Auerbach and Zeitlin guide readers through the analytical process based on the characteristics of their data. Several examples and illustrations are provided throughout to help readers understand the wide range of functions available in SSD for R and their application to data analysis and interpretation.
SSD for R is the only book of its kind to describe single-subject data analysis while providing free statistical software to do so. Additionally, the authors have an active website (http://ssdanalysis.com) with a growing number of instructional videos and a blog to build a community of researchers interested in single-subject designs.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Zeitlin is an assistant professor at Yeshiva University's Wurzweiler School of Social Work where she teaches courses in single-subject research, statistics, evidence-based social work, child welfare, and cultural competence. Her work has been published in peer-reviewed journals, and she is a frequent presenter at nationally recognized conferences.
"About the title" may belong to another edition of this title.
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