You are here

Political Analysis
Share
Share

Political Analysis
A Guide to Data and Statistics

Second Edition
Additional resources:


November 2025 | 424 pages | SAGE Publications Ltd
Statistics are part of our everyday life: from polling and elections to advertising claims, we confront numerical claims all the time. Rather than being swayed by bad arguments and questionable correlations, this book introduces you to the most common and contemporary statistical methods so that you can better understand the world. 

This is the most accessible guide to using statistics in Politics and IR research. Praised for being intuitive and engaging, this textbook walks you through the most common tools – from crosstabs to correlations; from multiple to logistic regression – in a way that couldn’t be more different than dull number crunching or complicated techniques. Instead, it empowers you to decide the best means to analyse a problem.

Fully updated and revised throughout, this new edition is accompanied by four workbooks that provide both practical and theoretical examples using different statistical software: SPSS, Stata, R, and Python. Simply choose the relevant workbook and learn how to do your own statistical analysis with the included activities, screenshots and step-by-step instructions.

This text is essential for anyone looking to become proficient in statistics: whether that’s to gain statistical literacy, to complete your thesis, to boost your value on the job market, or to become an active and informed consumer of current affairs.

Why let other people explain the world to you?

Matthew Loveless is an Associate Professor in the Department of Political and Social Sciences at the University of Bologna, Italy.
 
 
Chapter 1: The Scientific Method and Statistics
 
Chapter 2: Theory and Hypotheses
 
Chapter 3: Data and Variables
 
Chapter 4: Research Design and the Scientific Study of Politics
 
Chapter 5: The Ethics of Data Analysis
 
PART I Descriptive Statistics
 
Chapter 6: Univariate Descriptive Statistics
 
Chapter 7: Measures of Association I: Nominal- and Ordinal-level Variables
 
Chapter 8: Measures of Association II: Means Comparison and Correlation
 
Chapter 9: Measures of Association III: (Bivariate) Regression
 
PART II Inferential Statistics
 
Chapter 10: An Introduction to Interference
 
Chapter 11: Inference for Nominal- and Ordinal-level Variables
 
Chapter 12: The Central Limit Theorem
 
Chapter 13: Inference for Interval-level Variables
 
PART III Multiple Regression
 
Chapter 14: Multiple Regression
 
Chapter 15: Extensions to Multiple Regression
 
Chapter 16: Issues with Multiple Regression
 
Chapter 17: Binary Logistic Regression
 
Chapter 18: Categorical and Limited Dependent Variables Epilogue

For instructors

Please select a format:

Select a Purchasing Option


Paperback
ISBN: 9781036216924
£40.99

Hardcover
ISBN: 9781036216931
£122.00