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Shows the range and power of experimental methods in political science
Increasingly, political scientists use the term 'experiment' or 'experimental' to describe their empirical research. One of the primary reasons for doing so is the advantage of experiments in establishing causal inferences. In this book, Rebecca B. Morton and Kenneth C. Williams discuss in detail how experiments and experimental reasoning with observational data can help researchers determine causality. They explore how control and random assignment mechanisms work, examining both the Rubin causal model and the formal theory approaches to causality. They also cover general topics in experimentation such as the history of experimentation in political science; internal and external validity of experimental research; types of experiments - field, laboratory, virtual, and survey - and how to choose, recruit, and motivate subjects in experiments. They investigate ethical issues in experimentation, the process of securing approval from institutional review boards for human subject research, and the use of deception in experimentation.
This volume provides the first comprehensive overview of how political scientists have used experiments to transform their field of study.
This textbook introduces the scientific study of politics, supplying students with the basic tools to be critical consumers and producers of scholarly research.
Novel collection of essays addressing contemporary trends in political science, covering a broad array of methodological and substantive topics.
This book explains how field research contributes value to political science by exploring scholars' experiences, detailing exemplary practices, and asserting key principles.
The third edition of Research Methods for Political Science retains its effective approach to helping students learn what to research, why to research and how to research. The text integrates both quantitative and qualitative approaches to research in one volume and covers such important topics as research design, specifying research problems, designing questionnaires and writing questions, designing and carrying out qualitative research and analyzing both quantitative and qualitative research data. Heavily illustrated, classroom tested, exceptionally readable and engaging, the text presents statistical methods in a conversational tone to help students surmount "math phobia." Updates to this new edition include: Research topics chapters have been upgraded and expanded. Two mixed methods design chapters have been added. A new chapter on hermeneutic analysis designs and research with large data sets. The chapter on multivariate statistics has been expanded, with an expanded discussion on logistic regression. Tools on how to prepare and present research findings are now featured in the appendix, allowing instructors more flexibility when teaching their courses. Research Methods for Political Science will give students the confidence and knowledge they need to understand the methods and basics skills for data collection, presentation and analysis.
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."
The Oxford Handbooks of Political Science are the essential guide to the state of political science today. With engaging contributions from major international scholars The Oxford Handbook of Political Methodology provides the key point of reference for anyone working throughout the discipline.
Population-based survey experiments have become an invaluable tool for social scientists struggling to generalize laboratory-based results, and for survey researchers besieged by uncertainties about causality. Thanks to technological advances in recent years, experiments can now be administered to random samples of the population to which a theory applies. Yet until now, there was no self-contained resource for social scientists seeking a concise and accessible overview of this methodology, its strengths and weaknesses, and the unique challenges it poses for implementation and analysis. Drawing on examples from across the social sciences, this book covers everything you need to know to plan, implement, and analyze the results of population-based survey experiments. But it is more than just a "how to" manual. This lively book challenges conventional wisdom about internal and external validity, showing why strong causal claims need not come at the expense of external validity, and how it is now possible to execute experiments remotely using large-scale population samples. Designed for social scientists across the disciplines, Population-Based Survey Experiments provides the first complete introduction to this methodology. Offers the most comprehensive treatment of the subjectFeatures a wealth of examples and practical adviceReexamines issues of internal and external validityCan be used in conjunction with downloadable data from ExperimentCentral.org for design and analysis exercises in the classroom