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Political Analysis
A Guide to Data and Statistics
Matthew Loveless
- 504 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Political Analysis
A Guide to Data and Statistics
Matthew Loveless
About This Book
Why let other people explain the world to you?
From news reporting on elections or unfolding political crises to everyday advertising, you are confronted with statistics. 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. It?s not about mindless number crunching or flashy techniques but about knowing when to use statistics as the best means to analyse a problem.
Whether you want to answer:
"Who is most likely to turn out and vote at the next election?"
or
"What accounts for some political conflicts escalating to war?"
you'll explore what can and can't be done with statistics, and how to select the most appropriate statistical techniques and correctly interpret the results.
Perhaps you simply want to understand enough to pass your statistics class and move on. Maybe you want to build your knowledge so that you are not excluded from research and debate. Or it could be the first step towards more advanced study. Whatever your goal, this book guides you through the journey, empowering you to confidently interact with statistics to make you a more formidable student, employee, and democratic citizen.
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Table of contents
- Cover
- Half Title
- Publisher Note
- Title Page
- Copyright Page
- Contents
- Discover This Textbookâs Online Resources
- About the Author
- A Prologue
- An Introduction
- 1 The Scientific Method and Statistics
- 2 Theory and Hypotheses
- 3 Data and Variables
- 4 Research Design
- 5 Statistics and the Scientific Study of Politics
- Part I Descriptive Statistics
- 6 Univariate Descriptive Statistics
- 7 Measures of Association I: Nominal- and Ordinal-level Variables
- 8 Measures of Association II: Means Comparison and Correlation
- 9 Measures of Association III: (Bivariate) Regression
- Part II Inferential Statistics
- 10 An Introduction to Inference
- 11 Inference for Nominal- and Ordinal-level Variables
- 12 The Central Limit Theorem
- 13 Inference for Interval-level Variables
- Part III Multiple Regression
- 14 Multiple Regression
- 15 Extensions to Multiple Regression
- 16 Issues with Multiple Regression
- 17 Binary Logistic Regression
- 18 Categorical and Limited Dependent Variables
- Part IV Current Debates
- 19 Big Alternatives
- 20 The Ethics of Data Analysis
- Index