Organized to complement an introductory course in political science research methods, this work aims to help students understand research as it is actually practiced. Each chapter opens with an explanation of basic concepts and methods of political research.
In this thought-provoking book, Paulo Ravecca presents a series of interlocking studies on the politics of political science in the Americas. Focusing mainly on the cases of Chile and Uruguay, Ravecca employs different strands of critical theory to challenge the mainstream narrative about the development of the discipline in the region, emphasizing its ideological aspects and demonstrating how the discipline itself has been shaped by power relations. Ravecca metaphorically charts the (non-linear) transit from “cold” to “warm” to “hot” intellectual temperatures to illustrate his—alternative—narrative. Beginning with a detailed quantitative study of three regional academic journals, moving to the analysis of the role of subjectivity (and political trauma) in academia and its discourse in relation to the dictatorships in Chile and Uruguay, and arriving finally at an intimate meditation on the experience of being a queer scholar in the Latin American academy of the 21st century, Ravecca guides his readers through differing explorations, languages, and methods. The Politics of Political Science: Re-Writing Latin American Experiences offers an essential reflection on both the relationship between knowledges and politics and the political and ethical role of the scholar today, demonstrating how the study of the politics of knowledge deepens our understanding of the politics of our times.
This book explains how field research contributes value to political science by exploring scholars' experiences, detailing exemplary practices, and asserting key principles.
Field experiments -- randomized controlled trials -- have become ever more popular in political science, as well as in other disciplines, such as economics, social policy and development. Policy-makers have also increasingly used randomization to evaluate public policies, designing trials of tax reminders, welfare policies and international aid programs to name just a few of the interventions tested in this way. Field experiments have become successful because they assess causal claims in ways that other methods of evaluation find hard to emulate. Social scientists and evaluators have rediscovered how to design and analyze field experiments, but they have paid much less attention to the challenges of organizing and managing them. Field experiments pose unique challenges and opportunities for the researcher and evaluator which come from working in the field. The research experience can be challenging and at times hard to predict. This book aims to help researchers and evaluators plan and manage their field experiments so they can avoid common pitfalls. It is also intended to open up discussion about the context and backdrop to trials so that these practical aspects of field experiments are better understood. The book sets out ten steps researchers can use to plan their field experiments, then nine threats to watch out for when they implement them. There are cases studies of voting and political participation, elites, welfare and employment, nudging citizens, and developing countries.
“A compelling case for transforming how research methods are taught to undergraduate students of political science.” —London School of Economics Review of Books Each year, tens of thousands of students who are interested in politics go through a rite of passage: they take a course in research methods. Many find the subject to be boring or confusing, and with good reason. Most of the standard books on research methods fail to highlight the most important concepts and questions. Instead, they brim with dry technical definitions and focus heavily on statistical analysis, slighting other valuable methods. This approach prevents students from mastering the skills they need to engage more directly and meaningfully with a wide variety of research. With wit and practical wisdom, Christopher Howard draws on more than a decade of experience teaching research methods to transform a typically dreary subject and teach budding political scientists the critical skills they need to read published research more effectively and produce better research of their own. The first part of the book is devoted to asking three fundamental questions in political science: What happened? Why? Who cares? In the second section, Howard demonstrates how to answer these questions by choosing an appropriate research design, selecting cases, and working with numbers and written documents as evidence. Drawing on examples from American and comparative politics, international relations, and public policy, Thinking Like a Political Scientist highlights the most common challenges that political scientists routinely face, and each chapter concludes with exercises so that students can practice dealing with those challenges.
An excellent starting point for those new to the area of Research Methods, this work assumes no prior knowledge of the subject and sets out the key issues involved in doing research in politics.
How do people excluded from political life achieve political agency? Through a series of historical events that have been mostly overlooked by political theorists, Martin Breaugh identifies fleeting yet decisive instances of emancipation in which people took it upon themselves to become political subjects. Emerging during the Roman plebs's first secession in 494 BCE, the plebeian experience consists of an underground or unexplored configuration of political strategies to obtain political freedom. The people reject domination through political praxis and concerted action, therefore establishing an alternative form of power. Breaugh's study concludes in the nineteenth century and integrates ideas from sociology, philosophy, history, and political science. Organized around diverse case studies, his work undertakes exercises in political theory to show how concepts provide a different understanding of the meaning of historical events and our political present. The Plebeian Experience describes a recurring phenomenon that clarifies struggles for emancipation throughout history, expanding research into the political agency of the many and shedding light on the richness of radical democratic struggles from ancient Rome to Occupy Wall Street and beyond.
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 large datasets, web mining, quantitative text analysis, network analysis, mapping, spatial cluster analysis, and principal component analysis. Key features: Each chapter has the most up-to-date and simple option available for each task, assuming minimal prerequisites and no previous experience in R Makes extensive use of the Tidyverse, the group of packages that has revolutionized the use of R Provides a step-by-step guide that you can replicate using your own data Includes exercises in every chapter for course use or self-study Focuses on practical-based approaches to statistical inference rather than mathematical formulae Supplemented by an R package, including all data As the title suggests, this book is highly applied in nature, and is designed as a toolbox for the reader. It can be used in methods and data science courses, at both the undergraduate and graduate levels. It will be equally useful for a university student pursuing a PhD, political consultants, or a public official, all of whom need to transform their datasets into substantive and easily interpretable conclusions.
This is an immensely helpful book for students starting their own research... an excellent introduction to the comparative method giving an authoritative overview over the research process - Klaus Armingeon, University of Bern Doing Research in Political Science is the book for mastering the comparative method in all the social sciences - Jan-Erik Lane, University of Geneva This book has established itself as a concise and well-readable text on comparative methods and statistics in political science I...strongly recommend it. - Dirk Berg-Schlosser, Philipps-University Marburg This thoroughly revised edition of the popular textbook offers an accessible but comprehensive introduction to comparative research methods and statistics for students of political science. Clearly organized around three parts, the text introduces the main theories and methodologies used in the discipline. Part 1 frames the comparative approach within the methodological framework of the political and social sciences. Part 2 introduces basic descriptive and inferential statistical methods as well as more advanced multivariate methods used in quantitative political analysis. Part 3 applies the methods and techniques of Parts 1 & 2 to research questions drawn from contemporary themes and issues in political science. Incorporating practice exercises, ideas for further reading and summary questions throughout, Doing Research in Political Science provides an invaluable step-by-step guide for students and researchers in political science, comparative politics and empirical political analysis.