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Understanding Political Science Statistics
In politics, you begin by asking theoretically interesting questions. Sometimes statistics can help answer those questions. When it comes to applied statistics, students shouldn’t just learn a vast array of formula—they need to learn the basic concepts of statistics as solutions to particular problems. Peter Galderisi demonstrates that statistics are a summary of how to answer the problem: learn the math but only after learning the concepts and methodological considerations that give it context. With this as a starting point, Understanding Political Science Statistics asks students to consider how to address a research problem conceptually before being led to the appropriate formula. Thr...
Butler's British Political Facts
This book is the most comprehensive single volume reference work available for British political facts. Covering the period from 1900 to the present, it is the latest edition in a series previously edited by David Butler and various collaborators. This new edition updates the contents to the immediate post-European Union referendum period in the UK. It is useful to a wide range of potential readers, including students, educators, journalists, policy professionals, and anyone with an interest in politics and political history. It will be valuable to academics working in a variety of disciplines, including history and political science.
Political Cleavages and Social Inequalities
The empirical starting point for anyone who wants to understand political cleavages in the democratic world, based on a unique dataset covering fifty countries since WWII. Who votes for whom and why? Why has growing inequality in many parts of the world not led to renewed class-based conflicts, seeming instead to have come with the emergence of new divides over identity and integration? News analysts, scholars, and citizens interested in exploring those questions inevitably lack relevant data, in particular the kinds of data that establish historical and international context. Political Cleavages and Social Inequalities provides the missing empirical background, collecting and examining a tr...
Polling UnPacked
From a political-polling expert, an eye-opening—and hilarious—look at the origins of polls and how they have been used and abused ever since. Opinion polls dominate media coverage of politics, especially elections. But how do the polls work? How do we tell the good from the bad? And in light of recent polling disasters, can we trust them at all? Polling UnPacked gives us the full story, from the first rudimentary polls in the nineteenth century, through attempts by politicians to ban polling in the twentieth century, to the very latest techniques and controversies from the last few years. Equal parts enlightening and hilarious, the book requires no prior knowledge of polling or statistics to understand. But even hardened pollsters will find much to enjoy, from how polling has been used to help plan military invasions to why an exhausted interviewer was accidentally instrumental in inventing exit polls. Written by a former political pollster and the creator of Britain’s foremost polling-intention database, Polling UnPacked reveals which opinion polls to trust, which to ignore, and which, frankly, to laugh at. It will change the way we see political coverage forever.
R for Political Data Science
R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in their work. The book has 16 chapters and is organized in three sections. The first, on the use of R, is for those users who are learning R or are migrating from another software. The second section, on econometric models, covers OLS, binary and survival models, panel data, and causal inference. The third section is a data science toolbox of some the most useful tools in the discipline: data imputation, fuzzy merge of...
Statistics for Political Analysis
Statistics are just as vital to understanding political science as the study of institutions, but getting students to understand them when teaching a methods course can be a big challenge. Statistics for Political Analysis makes understanding the numbers easy. The only introduction to statistics book written specifically for political science undergraduates, this book explains each statistical concept in plain language—from basic univariate statistics and the basic measures of association to bivariate and multivariate regression—and uses real world political examples. Students learn the relevance of statistics to political science, how to understand and calculate statistics mathematically, and how to obtain them using SPSS. All calculations are modeled step-by-step, giving students needed practice to master the process without making it intimidating. Each chapter concludes with exercises that get students actively applying the steps and building their professional skills through data calculation, analysis, and memo writing.
Poor Numbers
One of the most urgent challenges in African economic development is to devise a strategy for improving statistical capacity. Reliable statistics, including estimates of economic growth rates and per-capita income, are basic to the operation of governments in developing countries and vital to nongovernmental organizations and other entities that provide financial aid to them. Rich countries and international financial institutions such as the World Bank allocate their development resources on the basis of such data. The paucity of accurate statistics is not merely a technical problem; it has a massive impact on the welfare of citizens in developing countries. Where do these statistics origin...
Political Analysis Using R
This book provides a narrative of how R can be useful in the analysis of public administration, public policy, and political science data specifically, in addition to the social sciences more broadly. It can serve as a textbook and reference manual for students and independent researchers who wish to use R for the first time or broaden their skill set with the program. While the book uses data drawn from political science, public administration, and policy analyses, it is written so that students and researchers in other fields should find it accessible and useful as well. By the end of the first seven chapters, an entry-level user should be well acquainted with how to use R as a traditional...
Understanding Political Science Statistics using Stata
This manual walks students through the procedures for analysis in Stata and provides exercises that go hand-in-hand with online data sets. The manual complements the textbook Understanding Political Science Statistics: Observations and Expectations in Political Analysis, by Peter Galderisi, making it easy to use alongside the book in a course or as a stand-alone guide to using Stata. Seljan demonstrates how to run commands in Stata for different kinds of research questions and shows the results of the analyses, using lots of annotated screenshots from Stata version 12 (but compatible with all versions, including Stata Small). Students will be guided through standard processes replete with ex...
Political Demography
The field of political demography - the politics of population change - is dramatically underrepresented in political science. At a time when demographic changes - aging in the rich world, youth bulges in the developing world, ethnic and religious shifts, migration, and urbanization - are waxing as never before, this neglect is especially glaring and starkly contrasts with the enormous interest coming from policymakers and the media. "Ten years ago, [demography] was hardly on the radar screen," remarks Richard Jackson and Neil Howe of the Center for Strategic and International Studies, two contributors to this volume. "Today," they continue, "it dominates almost any discussion of America's l...
