Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Discovering statistics using R /
Author Field, Andy P.
Other Authors
Author Title of a Work
Miles, Jeremy,
Field, Zoèe.
Publisher Sage,
Year Published 2012
OCLC Number 760970657
ISBN 9781446200469; 1446200469; 1446200450; 9781446200452
Subjects Social sciences--Statistical methods--Computer programs. ; R (Computer program language) ; Statistics--Computer programs. ; R (Programsprêak) ; Statistik. ; Deskriptiv statistik. ; Regressionsanalys. ; Korrelationsanalys. ; Samhällsvetenskap--statistiska metoder. ; Datorprogram. ; 70.03 methods, techniques and organization of social science research.--(NL-LeOCL)077601203
Internet Access
Description Access URL
The Alumni and Friends Memorial Book Fund Home Page
Library Call Number Additional Info Location Last
ELBM  HA32.F537 2012 AWBERC Library/Cincinnati,OH 11/09/2016
Collation xxxiv, 957 pages : illustrations ; 27 cm
Includes bibliographical references (pages 941-947) and index.
Contents Notes
Why is my evil lecturer forcing me to learn statistics? -- Everything you ever wanted to know about statistics (well, sort of) -- The R environment -- Exploring data with graphs -- Exploring assumptions -- Correlation -- Regression -- Logistic regression -- Comparing two means -- Comparing several means: ANOVA (GLM 1) -- Analysis of covariance, ANCOVA (GLM 2) -- Factorial ANOVA (GLM 3) -- Repeated-measures designs (GLM 4) -- Mixed designs (GLM 5) -- Non-parametric tests -- Multivariate analysis of variance (MANOVA) -- Exploratory factor analysis -- Categorical data -- Multilevel linear models. "Hot on the heels of the award-winning and best selling Discovering Statistics Using SPSS Third Edition, Andy Field has teamed up with Jeremy Miles (co-author of Discovering Statistics Using SAS) to write Discovering Statistics Using R. Keeping the uniquely humorous and self-depreciating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using the freeware R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioral sciences throughout the world. The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next the importance of exploring and graphing data will be discovered, before moving onto statistical tests that are the foundations of the rest of the book (for e.g. correlation and regression). Readers will then stride confidently into intermediate level analyses such as ANOVA, before ending their journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help the reader gain the necessary conceptual understanding of what they're doing, the emphasis is on applying what's learned to playful and real-world examples that should make the experience more fun than expected."--Publisher's website.