Stephen Gorard is Professor of Education and Public Policy, and Director of the Evidence Centre for Education at Durham University.

Part I: Introduction
Chapter 1: Why we use numbers in research
Chapter 2: What is a number?: Issues of measurement
Part II: Basic analyses
Chapter 3: Working with one variable
Chapter 4: Working with tables of categorical variables
Chapter 5: Examining differences between real numbers
Chapter 6: Significance tests: how to conduct them and what they do not mean
Chapter 7: Significance tests: why we should not report them
Part III: Advanced issues for analysis
Chapter 8: The role of judgement in analysis
Chapter 9: Research designs
Chapter 10: Sampling and populations
Chapter 11: What is randomness?
Chapter 12: Handling missing data: The importance of what we don't know
Chapter 13: Handling missing data: more complex issues
Part IV: Modelling with data
Chapter 14: Errors in measurements
Chapter 15: Correlating two real numbers
Chapter 16: Predicting measurements using simple linear regression
Chapter 17: Predicting measurements using multiple linear regression
Chapter 18: Assumptions and limitations in regression
Chapter 19: Predicting outcomes using logistic regression
Chapter 20: Data reduction techniques
Part V: Conclusion
Chapter 21: Presenting data for your audience