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How to Make Sense of Statistics
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How to Make Sense of Statistics



February 2021 | 296 pages | SAGE Publications Ltd
In a new textbook designed for students new to statistics and social data, Stephen Gorard focuses on non-inferential statistics as a basis to ensure students have basic statistical literacy.

Understanding why we have to learn statistics and seeing the links between the numbers and real life is a crucial starting point. Using engaging, friendly, approachable language this book will demystify numbers from the outset, explaining exactly how they can be used as tools to understand the relationships between variables.

This text assumes no previous mathematical or statistical knowledge, taking the reader through each basic technique with step-by-step advice, worked examples, and exercises. Using non-inferential techniques, students learn the foundations that underpin all statistical analysis and will learn from the ground up how to produce theoretically and empirically informed statistical results.
 
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

This book takes beginner students hand-in-hand through a journey in the world of statistics without dumbing down the concepts, just making them very accessible. It teaches the basics (and beyond) by stimulating critical thinking.

Luana Russo
Maastricht University

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Stephen Gorard

Stephen Gorard is Professor of Education and Public Policy, and Director of the Evidence Centre for Education, at Durham University (https://www.dur.ac.uk/). He is a Fellow of the Academy of Social Sciences, member of the ESRC Commissioning Panel for the Research Methods Programme, the British Academy grants panel, and Lead Editor for BERA’s Review of Education. He is a member of the Cabinet Office Trials Advice Panel as part of the Prime Minister’s Implementation Unit. His work concerns the robust evaluation of education as a lifelong process, focused on issues of equity, especially regarding school intakes. He is author of around 30... More About Author

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ISBN: 9781526413826
£26.99