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Field

Discovering Statistics Using R and RStudio

Medium: Buch
ISBN: 978-1-5264-6136-0
Verlag: Sage Publications Ltd
Erscheinungstermin: 14.03.2026
vorbestellbar, Erscheinungstermin ca. Juni 2026

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.


Produkteigenschaften


  • Artikelnummer: 9781526461360
  • Medium: Buch
  • ISBN: 978-1-5264-6136-0
  • Verlag: Sage Publications Ltd
  • Erscheinungstermin: 14.03.2026
  • Sprache(n): Englisch
  • Auflage: 2. Revised Auflage 2026
  • Produktform: Kartoniert
  • Seiten: 784
  • Format (B x H): 195 x 265 mm
  • Ausgabetyp: Kein, Unbekannt
  • Vorauflage: 978-1-4462-0046-9
Autoren/Hrsg.

Autoren

Andy Field is a Reader in Psychology at The University of Sussex. He adores cats, listens to and plays loud music and enjoys teaching statistics. His ability to make statistics accessible and fun has been recognised with teaching awards from the University of Sussex (2001) and the British Psychological Society (2006).

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