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Discovering Statistics Using R and RStudio (2nd ed.)
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Discovering Statistics Using R and RStudio (2nd ed.)

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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 charactersWith 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 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

In The Press

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

About the Author

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

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