Roger Watt is Emeritus Professor of Psychology at the University of Stirling. He has spent many years rejecting 'the system' and instead is persistently stubborn in doing things his own way. He most enjoys his trumpet, his watercolours, and whatever he has managed to grow in his garden. Statistics for Psychology is the culmination of several years of pushing for change in how statistics should be approached by psychologists and students.

Chapter 1: Why Do We Need Statistics?
Chapter 2: The Research Cycle
Chapter 3: Variables
Chapter 4: Relationships between Variables
Intermezzo 1: Correlation
Chapter 5: Uncertainty
Chapter 6: Null Hypothesis Testing
Chapter 7: Statistical Tests for One Independent Variable
Intermezzo 2: Alternatives to NHST: Bayes and Likelihood
Chapter 8: Minimising Uncertainty: Research Design
Chapter 9: Measurements and Uncertainty
Chapter 10: Sampling and Uncertainty
Intermezzo 3: Uncertain Power Analysis
Chapter 11: Hypotheses with More than One Independent Variable
Chapter 12: Covariations: Relationships between Two Independent Variables
Chapter 13: Analysing Data with Two or More Independent Variables
Chapter 14: Which Model is Best?
Intermezzo 4: Combining Multiple Studies: Replication and Meta-Analysis
Chapter 15: Contributing to Knowledge