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Discovering Statistics Using R and RStudio
Second Edition
- Andy Field - University of Sussex, UK
Additional resources:
Other Titles in:
Quantitative/Statistical Research | Research Methods & Evaluation | Research Methods in Psychology
Quantitative/Statistical Research | Research Methods & Evaluation | Research Methods in Psychology
1 200 pages | SAGE Publications Ltd
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.
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
Supplements
This is a very good reading resource for modules with research and literature review aspects.
Interdiscipline, Winchester University
August 3, 2022
Sample Materials & Chapters
Introduction and Chapter 1: Why Is My Evil Lecturer Forcing Me to Learn Statisti