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Go to College Publishing WebsiteDescription
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.
Contents
Chapter 1: Why Is My Evil Lecturer Forcing Me to Learn Statistics?
Chapter 1: Why Is My Evil Lecturer Forcing Me to Learn Statistics?
Chapter 2: The SPINE of statistics
Chapter 2: The SPINE of statistics
Chapter 3: The phoenix of statistics
Chapter 3: The phoenix of statistics
Chapter 4: ARGH! ARGH!Studio and Quarto
Chapter 4: ARGH! ARGH!Studio and Quarto
Chapter 5: Describing and visualizing data
Chapter 5: Describing and visualizing data
Chapter 6: The beast of bias
Chapter 6: The beast of bias
Chapter 7: Correlation
Chapter 7: Correlation
Chapter 8: The linear model (regression)
Chapter 8: The linear model (regression)
Chapter 9: Categorical predictors: Comparing two means
Chapter 9: Categorical predictors: Comparing two means
Chapter 10: A tale of three Ms: Moderation, mediation, and missingness
Chapter 10: A tale of three Ms: Moderation, mediation, and missingness
Chapter 11: GLM 1: Comparing several independent means
Chapter 11: GLM 1: Comparing several independent means
Chapter 12: GLM 2: Comparing means adjusted for other predictors (analysis of covariance)
Chapter 12: GLM 2: Comparing means adjusted for other predictors (analysis of covariance)
Chapter 13: GLM 3: Factorial designs
Chapter 13: GLM 3: Factorial designs
Chapter 14: GLM 4: Multilevel linear models
Chapter 14: GLM 4: Multilevel linear models
Chapter 15: GLM 5: Repeated-measures designs
Chapter 15: GLM 5: Repeated-measures designs
Chapter 16: GLM 6: Mixed designs
Chapter 16: GLM 6: Mixed designs
Chapter 17: Exploratory factor analysis
Chapter 17: Exploratory factor analysis
Chapter 18: Categorical outcomes: chi-square and loglinear analysis
Chapter 18: Categorical outcomes: chi-square and loglinear analysis
Chapter 19: Categorical outcomes: logistic regression
Chapter 19: Categorical outcomes: logistic regression
Chapter 20: Epilogue
Chapter 20: Epilogue
Appendix
Appendix
Glossary
Glossary
Additional materials
Description
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.
Contents
Chapter 1: Why Is My Evil Lecturer Forcing Me to Learn Statistics?
Chapter 1: Why Is My Evil Lecturer Forcing Me to Learn Statistics?
Chapter 2: The SPINE of statistics
Chapter 2: The SPINE of statistics
Chapter 3: The phoenix of statistics
Chapter 3: The phoenix of statistics
Chapter 4: ARGH! ARGH!Studio and Quarto
Chapter 4: ARGH! ARGH!Studio and Quarto
Chapter 5: Describing and visualizing data
Chapter 5: Describing and visualizing data
Chapter 6: The beast of bias
Chapter 6: The beast of bias
Chapter 7: Correlation
Chapter 7: Correlation
Chapter 8: The linear model (regression)
Chapter 8: The linear model (regression)
Chapter 9: Categorical predictors: Comparing two means
Chapter 9: Categorical predictors: Comparing two means
Chapter 10: A tale of three Ms: Moderation, mediation, and missingness
Chapter 10: A tale of three Ms: Moderation, mediation, and missingness
Chapter 11: GLM 1: Comparing several independent means
Chapter 11: GLM 1: Comparing several independent means
Chapter 12: GLM 2: Comparing means adjusted for other predictors (analysis of covariance)
Chapter 12: GLM 2: Comparing means adjusted for other predictors (analysis of covariance)
Chapter 13: GLM 3: Factorial designs
Chapter 13: GLM 3: Factorial designs
Chapter 14: GLM 4: Multilevel linear models
Chapter 14: GLM 4: Multilevel linear models
Chapter 15: GLM 5: Repeated-measures designs
Chapter 15: GLM 5: Repeated-measures designs
Chapter 16: GLM 6: Mixed designs
Chapter 16: GLM 6: Mixed designs
Chapter 17: Exploratory factor analysis
Chapter 17: Exploratory factor analysis
Chapter 18: Categorical outcomes: chi-square and loglinear analysis
Chapter 18: Categorical outcomes: chi-square and loglinear analysis
Chapter 19: Categorical outcomes: logistic regression
Chapter 19: Categorical outcomes: logistic regression
Chapter 20: Epilogue
Chapter 20: Epilogue
Appendix
Appendix
Glossary
Glossary
Additional materials
February 2026 | 1200 pages | Sage UK
| Format | Published Date | ISBN | Price |
|---|
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.
Table Of Contents:
- 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