Taking you on a voyage of discovery through R and RStudio, this completely updated second edition combines real-world examples and humour with a hands-on 'how to' approach that brings statistics and programming to life.

In his characteristic irreverent and engaging style, Andy Field takes a fun and flexible yet rigorous approach to doing statistics in a book that:

• Builds statistical understanding at an accessible pace, giving you the confidence to develop your statistics and programming knowledge
• Encourages self-testing and reflection so you can practice your new skills
• Offers support and resources for whatever your learning style and wherever you are on your journey via a cast of colourful characters

With an exciting new look and new characters to meet, this is the go-to text for anyone in the social and behavioural sciences who wants to learn about statistics in R and R Studio.

Andy Field is Professor of Quantitative Methods at the University of Sussex. He has published widely (100+ research papers, 29 book chapters, and 17 books in various editions) in the areas of child anxiety and psychological methods and statistics. His current research interests focus on barriers to learning mathematics and statistics.

He is internationally known as a statistics educator. He has written several widely used statistics textbooks including Discovering Statistics Using IBM SPSS Statistics (winner of the 2007 British Psychological Society book award), Discovering Statistics Using R, and An Adventure in Statistics (shortlisted for the British Psychological Society book award, 2017; British Book Design and Production Awards, primary, secondary and tertiary education category, 2016; and the Association of Learned & Professional Society Publishers Award for innovation in publishing, 2016), which teaches statistics through a fictional narrative and uses graphic novel elements. He has also written the adventr and discovr packages for the statistics software R that teach statistics and R through interactive tutorials.

His uncontrollable enthusiasm for teaching statistics to psychologists has led to teaching awards from the University of Sussex (2001, 2015, 2016, 2018, 2019), the British Psychological Society (2006) and a prestigious UK National Teaching fellowship (2010).

He's done the usual academic things: had grants, been on editorial boards, done lots of admin/service but he finds it tedious trying to remember this stuff. None of them matter anyway because in the unlikely event that you've ever heard of him it'll be as the 'Stats book guy'. In his spare time, he plays the drums very noisily in a heavy metal band, and walks his cocker spaniel, both of which he finds therapeutic.

Chapter 1 Why Is My Evil Lecturer Forcing Me to Learn Statistics?
Chapter 2 Everything You Ever Wanted to Know About Statistics (Well, Sort of)
Chapter 3 The R Environment
Chapter 4 Exploring Assumptions
Chapter 5 Correlation
Chapter 6 Regression
Chapter 7 Logistic Regression
Chapter 8 Comparing Two Means
Chapter 9 Comparing Several Means: ANOVA (GLM 1)
Chapter 10 Analysis of Covariance, ANCOVA (GLM 2)
Chapter 11 Factorial ANOVA (GLM 3)
Chapter 12 Repeated-Measures Designs (GLM 4)
Chapter 13 Mixed Designs (GLM 5)
Chapter 14 Non-Parametric Tests
Chapter 15 Multivariate Analysis of Variance (MANOVA)
Chapter 16 Exploratory Factor Analysis
Chapter 17 Categorical Data
Chapter 18 Multilevel Linear Models
Epilogue: Life After Discovering Statistics