Andy Field

Discovering Statistics Using R and RStudio (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: SAGE Publications
• Seitenzahl: 784
• Erscheinungstermin: 28. März 2026
• Englisch
• ISBN-13: 9781529740158
• Artikelnr.: 61984097

Autorenporträt

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).

Inhaltsangabe

Chapter 1: Why Is My Evil Lecturer Forcing Me to Learn Statistics?
Chapter 2: The SPINE of statistics
Chapter 3: The phoenix of statistics
Chapter 4: ARGH! ARGH!Studio and Quarto
Chapter 5: Describing and visualizing data
Chapter 6: The beast of bias
Chapter 7: Correlation
Chapter 8: The linear model (regression)
Chapter 9: Categorical predictors: Comparing two means
Chapter 10: A tale of three Ms: Moderation, mediation, and missingness
Chapter 11: GLM 1: Comparing several independent means
Chapter 12: GLM 2: Comparing means adjusted for other predictors (analysis
of covariance)
Chapter 13: GLM 3: Factorial designs
Chapter 14: GLM 4: Multilevel linear models
Chapter 15: GLM 5: Repeated-measures designs
Chapter 16: GLM 6: Mixed designs
Chapter 17: Exploratory factor analysis
Chapter 18: Categorical outcomes: chi-square and loglinear analysis
Chapter 19: Categorical outcomes: logistic regression
Chapter 20: Epilogue
Appendix
Glossary