Zieffler / Harring / Long Comparing Groups

Randomization and Bootstrap Methods Using R
1. Auflage 2011
ISBN: 978-1-118-06366-8
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 332 Seiten, E-Book

A hands-on guide to using R to carry out key statisticalpractices in educational and behavioral sciencesresearch
Computing has become an essential part of the day-to-daypractice of statistical work, broadening the types of questionsthat can now be addressed by research scientists applying newlyderived data analytic techniques. Comparing Groups:Randomization and Bootstrap Methods Using R emphasizes thedirect link between scientific research questions and dataanalysis. Rather than relying on mathematical calculations, thisbook focus on conceptual explanations and the use of statisticalcomputing in an effort to guide readers through the integration ofdesign, statistical methodology, and computation to answer specificresearch questions regarding group differences.
Utilizing the widely-used, freely accessible R software, theauthors introduce a modern approach to promote methods that providea more complete understanding of statistical concepts. Following anintroduction to R, each chapter is driven by a research question,and empirical data analysis is used to provide answers to thatquestion. These examples are data-driven inquiries that promoteinteraction between statistical methods and ideas and computerapplication. Computer code and output are interwoven in the book toillustrate exactly how each analysis is carried out and how outputis interpreted. Additional topical coverage includes:
* Data exploration of one variable and multivariate data
* Comparing two groups and many groups
* Permutation tests, randomization tests, and the independentsamples t-Test
* Bootstrap tests and bootstrap intervals
* Interval estimates and effect sizes
Throughout the book, the authors incorporate data fromreal-world research studies as well aschapter problems that providea platform to perform data analyses. A related Web site features acomplete collection of the book's datasets along with theaccompanying codebooks and the R script files and commands,allowing readers to reproduce the presented output and plots.
Comparing Groups: Randomization and Bootstrap Methods UsingR is an excellent book for upper-undergraduate and graduatelevel courses on statistical methods, particularlyin theeducational and behavioral sciences. The book also serves as avaluable resource for researchers who need a practical guide tomodern data analytic and computational methods.

Autoren/Hrsg.

Zieffler, Andrew

Harring, Jeffrey

Long, Jeffrey D.

Über Autor(innen)

Andrew S. Zieffler, PhD, is Lecturer in the Department ofEducational Psychology at the University of Minnesota. Dr. Ziefflerhas published numerous articles in his areas of research interest,which include the measurement and assessment in statisticseducation research and statistical computing.
Jeffrey R. Harring, PhD, is Assistant Professor in theDepartment of Measurement, Statistics, and Evaluation at theUniversity of Maryland. Dr. Harring currently focuses his researchon statistical models for repeated measures data and nonlinearstructural equation models.
Jeffrey D. Long, PhD, is Professor of Psychiatry in theCarver College of Medicine at The University of Iowa and HeadStatistician for Neurobiological Predictors of Huntington's Disease(PREDICT-HD), a longitudinal NIH-funded study of early detection ofHuntington's disease. His interests include the analysis oflongitudinal and time-to-event data and ordinal data.