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Advanced Statistics for the Behavioral Sciences

A Computational Approach with R

Authors: Brown, Jonathon D.

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  • Teaches core subjects students need to both understand and perform computer-generated statistical analyses
  • Builds on Brown's earlier book on common statistical analyses, Linear Models in Matrix Form​ (Springer, 2014)
  • Utilizes R as standard tool for algebraic calculations 
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eBook 85,59 €
price for Spain (gross)
  • ISBN 978-3-319-93549-2
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  • Immediate eBook download after purchase
Hardcover 103,99 €
price for Spain (gross)
  • ISBN 978-3-319-93547-8
  • Free shipping for individuals worldwide. COVID-19 shipping restrictions apply.
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be dispatched within 3 to 5 business days.
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About this Textbook

This book demonstrates the importance of computer-generated statistical analyses in behavioral science research, particularly those using the R software environment. Statistical methods are being increasingly developed and refined by computer scientists, with expertise in writing efficient and elegant computer code.  Unfortunately, many researchers lack this programming background, leaving them to accept on faith the black-box output that emerges from the sophisticated statistical models they frequently use.  
Building on the author’s previous volume, Linear Models in Matrix Form, this text bridges the gap between computer science and research application, providing easy-to-follow computer code for many statistical analyses using the R software environment. The text opens with a foundational section on linear algebra, then covers a variety of advanced topics, including robust regression,  model selection based on bias and efficiency, nonlinear models and optimization routines, generalized linear models, and survival and time-series analysis.  Each section concludes with a presentation of the computer code used to illuminate the analysis, as well as pointers to packages in R that can be used for similar analyses and nonstandard cases.  The accessible code and breadth of topics make this book an ideal tool for graduate students or researchers in the behavioral sciences who are interested in performing advanced statistical analyses without having a sophisticated background in computer science and mathematics.

About the authors

Jonathon D. Brown is a social psychologist at the University of Washington. Since receiving his Ph.D. from UCLA in 1986, he has written three books, authored more than 75 journal articles and chapters, received a Presidential Young Investigator Award from the National Science Foundation, and been recognized as one of social psychology's most frequently-cited authors.   

Table of contents (14 chapters)

Table of contents (14 chapters)

Buy this book

eBook 85,59 €
price for Spain (gross)
  • ISBN 978-3-319-93549-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 103,99 €
price for Spain (gross)
  • ISBN 978-3-319-93547-8
  • Free shipping for individuals worldwide. COVID-19 shipping restrictions apply.
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Advanced Statistics for the Behavioral Sciences
Book Subtitle
A Computational Approach with R
Authors
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-319-93549-2
DOI
10.1007/978-3-319-93549-2
Hardcover ISBN
978-3-319-93547-8
Edition Number
1
Number of Pages
XXI, 526
Number of Illustrations
37 b/w illustrations, 207 illustrations in colour
Topics

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