This text starts by explaining the fundamental goal of good political science research—the ability to answer interesting and important questions by generating valid inferences about political phenomena. Before the text even discusses the process of developing a research question, the authors introduce the reader to what it means to make an inference and the different challenges that social scientists face when confronting this task. Only with this ultimate goal in mind will students be able to ask appropriate questions, conduct fruitful literature reviews, select and execute the proper research design, and critically evaluate the work of others. The authors' primary goal is to teach students to critically evaluate their own research designs and others’ and analyze the extent to which they overcome the classic challenges to making inference: internal and external validity concerns, omitted variable bias, endogeneity, measurement, sampling, and case selection errors, and poor research questions or theory. As such, students will not only be better able to conduct political science research, but they will also be more savvy consumers of the constant flow of causal assertions that they confront in scholarship, in the media, and in conversations with others. Three themes run through Barakso, Sabet, and Schaffner’s text: minimizing classic research problems to making valid inferences, effective presentation of research results, and the nonlinear nature of the research process. Throughout their academic years and later in their professional careers, students will need to effectively convey various bits of information. Presentation skills gleaned from this text will benefit students for a lifetime, whether they continue in academia or in a professional career. Several distinctive features make this book noteworthy: A common set of examples threaded throughout the text give students a common ground across chapters and expose them to a broad range of subfields in the discipline. Box features throughout the book illustrate the nonlinear, "non-textbook" reality of research, demonstrate the often false inferences and poor social science in the way the popular press covers politics, and encourage students to think about ethical issues at various stages of the research process.

There are a plethora of books that aim to teach the research methods needed for political science. Thinking Like a Political Scientist stands out from them in its conviction that students are better served by learning a handful of core lessons well rather than trying to memorize hundreds of often statistical definitions. Short and concise, the book has two main parts, Asking Good Questions and Generating Good Answers. In the first section, one chapter each is devoted to the three fundamental questions in political science: who cares?, what happened?, and why?. These take up, among many other topics, crafting a literature review, creating hypotheses, measuring concepts, and the difference between correlation and causation. The second section of the book has chapters about choosing a research design, choosing cases, working with written documents, and working with numbers. All of these are essential skills for undergraduates to have when reading published work and conducting their own research. Every chapter ends with several exercises where students can read examples from published work and develop their own skills as researchers. Finally, unlike most research methods books, Christopher Howard s sprinkles humor and surprising analogies throughout."

Understand the “how” and the “why” behind research in political science. Step by step, Political Science Research Methods walks students through the logic of research design, carefully explaining how researchers choose which method to employ. The Eighth Edition of this trusted resource offers a greater emphasis on the ways in which particular methods are used by undergraduates, expanded coverage of the role of the Internet in research and analysis, and more international examples. Practice makes perfect. In the new fourth edition of the accompanying workbook, Working with Political Science Research Methods, students are given the perfect opportunity to practice each of the methods presented in the core text. This helpful supplement breaks each aspect of the research process into manageable parts and features new exercises and updated data sets. A solutions manual with answers to the workbook is available to adopters.

The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of research processes in social science — from the ideation and design of research projects, through the construction of theoretical arguments, to conceptualization, measurement, & data collection, and quantitative & qualitative empirical analysis — exposited through 65 major new contributions from leading international methodologists. Each chapter surveys, builds upon, and extends the modern state of the art in its area. Following through its six-part organization, undergraduate and graduate students, researchers and practicing academics will be guided through the design, methods, and analysis of issues in Political Science and International Relations: Part One: Formulating Good Research Questions & Designing Good Research Projects Part Two: Methods of Theoretical Argumentation Part Three: Conceptualization & Measurement Part Four: Large-Scale Data Collection & Representation Methods Part Five: Quantitative-Empirical Methods Part Six: Qualitative & "Mixed" Methods

Through accounts from innovative research projects by world-leading political scientists, this volume offers a unique perspective on research methodology. It discusses the practical and intellectual dilemmas researchers face throughout the research process in a wide range of fields from implicit attitude testing to media analysis and interviews.

This textbook introduces the scientific study of politics, supplying students with the basic tools to be critical consumers and producers of scholarly research.

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. Throughout, Galderisi looks at problems through a lens of "observations and expectations," which can be applied to myriad statistical techniques, both descriptive and inferential. This approach links the answers researchers get from their individual data analysis to the research designs and questions from which these analyses are derived. By emphasizing the underlying logic of statistical analysis for greater understanding and drawing on applications and examples from political science (including law), the book illustrates how students can apply statistical concepts and techniques in their own research, in future coursework, and simply as an informed consumer of numbers in public discourse. The following features help students master the material: Legal and Methodological sidebars highlight key concepts and provide applied examples on law, politics, and methodology; End-of-chapter exercises allow students to test their mastery of the basic concepts and techniques along the way; A Sample Solutions Guide provides worked-out answers for odd-numbered exercises, with all answers available in the Instructor’s Manual; Key Terms are helpfully called out in both Marginal Definitions and a Glossary; A Companion Website (www.routledge.com/cw/galderisi) with further resources for both students and instructors; A diverse array of data sets include subsets of the ANES and Eurobarometer surveys; CCES; US Congressional district data; and a cross-national dataset with political, economic, and demographic variables; and Companion guides to SPSS and Stata walk students through the procedures for analysis and provide exercises that go hand-in-hand with online data sets.