Fr. 58.90

Political Analysis - A Guide to Data and Statistics

English · Paperback / Softback

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Description

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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.

List of contents

The Scientific Method And Statistics
Theory And Hypotheses
Data And Variables
Research Design
Statistics And The Scientific Study Of Politics
Descriptive Statistics
Univariate Descriptive Statistics
Measures Of Association I: Nominal- And Ordinal-Level Variables
Measures Of Association II: Means Comparison And Correlation
Measures Of Association III: (Bivariate) Regression
Inferential Statistics
An Introduction To Inference
Inference For Nominal- & Ordinal-level Variables
The Central Limit Theorem
Inference For Interval-Level Variables
Multiple Regression
Multiple Regression
Extensions To Multiple Regression
Issues With Multiple Regression
Binary Logistic Regression
Categorical And Limited Dependent Variables
Current Debates
Big Alternatives
The Ethics Of Data Analysis

About the author


Matthew Loveless is an Associate Professor in the Department of Political and Social Sciences at the University of Bologna (Italy). He is also co-founder of the Center for Research and Social Progress. He has taught quantitative methods to undergraduate and graduate students since 2003. He has held academic positions in the United States (Georgetown University; University of Mississippi), the United Kingdom (Nuffield Fellow, Oxford; University of Kent), and Italy (Jean Monnet Fellow, European University Institute, Florence; University of Bologna) in addition to visiting positions at Sciences Po – Institut d′Etudes Politiques de Grenoble (France), the University of Georgia (USA); Davison College (USA); St. Antony’s College (Oxford, UK); Mannheimer Zentrum für Europäische Sozialforschung: (Germany), and the University of Debrecen (Hungary). His research interests include in the field of Political Behavior in Europe, particularly as it relates to how individuals perceive and make sense of politics (recent examples focusing on political attitudes include International Political Science Review, Political Studies, the Journal of European Public Policy). Recent publications also include co-authored work that incorporate party competition with recent publications in Government and Opposition, Electoral Studies, and the Journal of Common Market Studies. He lives with his family in Italy. 

 

Summary

Political Analysis offers a comprehensive introduction to the use of statistics in political science. It is an instructive, helpful, and entertaining guide to the most common and up-to-date techniques used by political scientists and non-academic policy researchers alike.

Report

Written in clear, engaging and entertaining way, this indispensable book offers students everything they need to master the fundamentals of political analysis, offering an accessible entry-point to what is often an intimidating topic. This will be top of my next syllabus!  
  
Dr Govinda Clayton

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