Discovering Statistics Using R

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SAGE, Mar 7, 2012 - Reference - 992 pages
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Watch Andy Field's introductory video to Discovering Statistics Using R

Keeping the uniquely humorous and self-deprecating 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 R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world.

The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you're doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect.

Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.

Given this book's accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.

 

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AMAZING!! AWESOME book. I have loved reading this book, it is like reading a novel. Who would have thought that I would ever understand statistics. Every chapter I read, leaves me with so much more understanding than I have ever had, or even thought possible! There truly are no words for how amazing this book is..... it is a true MIRACLE! And life saver!!! Thank-you Andy for writing this book!!!! WOW!!  

Contents

1 Why is my evil lecturer forcing me to learn statistics?
1
2 Everything you ever wanted to know about statistics well sort of
32
3 The R environment
62
4 Exploring data with graphs
116
5 Exploring assumptions
166
6 Correlation
205
7 Regression
245
8 Logistic regression
312
14 Mixed designs GLM 5
604
15 Nonparametric tests
653
16 Multivariate analysis of variance MANOVA
696
17 Exploratory factor analysis
749
18 Categorical data
812
19 Multilevel linear models
855
Epilogue
910
Troubleshooting R
912

9 Comparing two means
359
ANOVA GLM 1
398
11 Analysis of covariance ANCOVA GLM 2
462
12 Factorial ANOVA GLM 3
498
13 Repeatedmeasure sdesigns GLM 4
549
Glossary
913
Appendix
929
References
941
Index
948
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About the author (2012)

Andy Field is Professor of Child Psychopathology at the University of Sussex. He has published over 80 research papers, 29 book chapters, and 17 books mostly on child emotional development and statistics.†

He is the founding editor of the Journal of Experimental Psychopathology and has been an associate editor and editorial board member for the British Journal of Mathematical and Statistical Psychology, Cognition and Emotion, Clinical Child and Family Psychology Review and Research Synthesis Methods.†

His ability to make statistics accessible and fun has been recognized with local and national teaching awards (University of Sussex, 2001, 2015, 2016; the British Psychological Society, 2007), a prestigious UK National Teaching Fellowship (2010), and the British Psychological Society book award (2006). He adores cats (and dogs), and loves to listen to and play very heavy music. He lives in Brighton with his wonderful wife ZoŽ, his son Zach, his crazy spaniel Ramsey and Fuzzy the cat.

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