Description
Book SynopsisThe updated edition of this classic text introduces a range of techniques for exploring quantitative data. Beginning with an emphasis on descriptive statistics and graphical approaches, it moves on in later chapters to simple strategies for examining the associations between variables using inferential statistics such as chi squared.
Trade Review“In 1988 Cathie Marsh’s first edition of
Exploring Data broke new ground and became an immediate success among non-statisticians. Jane Elliott does her memory proud, lifting the book into the 21st century whilst retaining all the immediacy of its appeal.”
Peter Elias, University of Warwick “This book will be widely used in the social sciences – by those who want to inject some ‘real data’ into their teaching and by those who want to use relevant examples to teach exploratory data analysis. The writing is interesting, clear and informative, and accessible to everyone, irrespective of whether they are good with numbers. Above all, this book is a good read.”
Angela Dale, University of Manchester
“Cathie Marsh’s original book, published 20 years ago, had a remarkable impact on students and researchers alike, liberating them to explore data – focussing on their meaning, not just the statistical significance. Jane Elliott has done an invaluable job in updating this book, taking account of developments in software and statistics.”
Brendan Burchell, University of Cambridge
Table of ContentsDetailed Table of Contents.
List of Figures.
Acknowledgements.
Introduction.
Part I: Single Variables.
1. Distribution Variables.
2. Numerical Summaries of Level and Spread.
3. Scaling and Standardising.
4. Inequality.
5. Smoothing Time Series.
Part II: Relationships between Two Variables.
6. Percentage Tables.
7. Analysing Contingency Tables.
8. Handling Several Batches.
9. Scatterplots and Resistant Lines.
10. Transformations.
Part III: Introducing a Third Variable.
11. Causal Explanations.
12. Three-Variable Contingency Tables and Beyond.
13. Longitudinal Data.
Footnotes.
References
