Liebe Besucherinnen und Besucher,
heute ab 15 Uhr feiern wir unser Sommerfest und sind daher nicht erreichbar. Ab morgen sind wir wieder wie gewohnt für Sie da. Wir bitten um Ihr Verständnis – Ihr Team von Sack Fachmedien
Buch, Englisch, 784 Seiten, Format (B × H): 195 mm x 265 mm
Buch, Englisch, 784 Seiten, Format (B × H): 195 mm x 265 mm
ISBN: 978-1-5264-6135-3
Verlag: 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.
Autoren/Hrsg.
Weitere Infos & Material
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