Advances in Experimental Political Science


Book Description

Novel collection of essays addressing contemporary trends in political science, covering a broad array of methodological and substantive topics.




Advances in Experimental Political Science


Book Description

Experimental political science has changed. In two short decades, it evolved from an emergent method to an accepted method to a primary method. The challenge now is to ensure that experimentalists design sound studies and implement them in ways that illuminate cause and effect. Ethical boundaries must also be respected, results interpreted in a transparent manner, and data and research materials must be shared to ensure others can build on what has been learned. This book explores the application of new designs; the introduction of novel data sources, measurement approaches, and statistical methods; the use of experiments in more substantive domains; and discipline-wide discussions about the robustness, generalizability, and ethics of experiments in political science. By exploring these novel opportunities while also highlighting the concomitant challenges, this volume enables scholars and practitioners to conduct high-quality experiments that will make key contributions to knowledge.




Cambridge Handbook of Experimental Political Science


Book Description

This volume provides the first comprehensive overview of how political scientists have used experiments to transform their field of study.




Experimental Thinking


Book Description

Experiments are a central methodology in the social sciences. Scholars from every discipline regularly turn to experiments. Practitioners rely on experimental evidence in evaluating social programs, policies, and institutions. This book is about how to “think” about experiments. It argues that designing a good experiment is a slow moving process (given the host of considerations) which is counter to the current fast moving temptations available in the social sciences. The book includes discussion of the place of experiments in the social science process, the assumptions underlying different types of experiments, the validity of experiments, the application of different designs, how to arrive at experimental questions, the role of replications in experimental research, and the steps involved in designing and conducting “good” experiments. The goal is to ensure social science research remains driven by important substantive questions and fully exploits the potential of experiments in a thoughtful manner.




Advances in Experimental Political Philosophy


Book Description

Political philosophy asks questions of great importance to our lives, both as individuals and members of political communities: What is justice? What does the state owe to its citizens? Under which conditions are different forms of government likely to be stable? The relevance of empirical research to such questions, however, has been largely underexplored. Introducing experimental political philosophy as a burgeoning field of inquiry, this volume brings together leading scholars using empirical methods to shed light on questions of justice and politics, and encourages them to reflect on the relationship of their methodologies to less empirically-focused approaches. Chapters cover traditional topics including distributive justice, egalitarianism, property rights, and healthcare justice, as well as outlining new directions and applications, such as the problem of misogynistic extremist movements, the public justification of immigration enforcement, and the relationship between gender norms and support for care labor organizing. The result is a unique collection that paves the way for further debates in the field and meaningful reflection on what it means for political philosophy to be empirically informed.




Population-Based Survey Experiments


Book Description

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 subject Features a wealth of examples and practical advice Reexamines issues of internal and external validity Can be used in conjunction with downloadable data from ExperimentCentral.org for design and analysis exercises in the classroom




Inside Countries


Book Description

Offers a groundbreaking analysis of the distinctive substantive, theoretical and methodological contributions of subnational research in the field of comparative politics.




Information, Accountability, and Cumulative Learning


Book Description

Throughout the world, voters lack access to information about politicians, government performance, and public services. Efforts to remedy these informational deficits are numerous. Yet do informational campaigns influence voter behavior and increase democratic accountability? Through the first project of the Metaketa Initiative, sponsored by the Evidence in Governance and Politics (EGAP) research network, this book aims to address this substantive question and at the same time introduce a new model for cumulative learning that increases coordination among otherwise independent researcher teams. It presents the overall results (using meta-analysis) from six independently conducted but coordinated field experimental studies, the results from each individual study, and the findings from a related evaluation of whether practitioners utilize this information as expected. It also discusses lessons learned from EGAP's efforts to coordinate field experiments, increase replication of theoretically important studies across contexts, and increase the external validity of field experimental research.




Politics and Expertise


Book Description

A new model for the relationship between science and democracy that spans policymaking, the funding and conduct of research, and our approach to new technologies Our ability to act on some of the most pressing issues of our time, from pandemics and climate change to artificial intelligence and nuclear weapons, depends on knowledge provided by scientists and other experts. Meanwhile, contemporary political life is increasingly characterized by problematic responses to expertise, with denials of science on the one hand and complaints about the ignorance of the citizenry on the other. Politics and Expertise offers a new model for the relationship between science and democracy, rooted in the ways in which scientific knowledge and the political context of its use are imperfect. Zeynep Pamuk starts from the fact that science is uncertain, incomplete, and contested, and shows how scientists’ judgments about what is significant and useful shape the agenda and framing of political decisions. The challenge, Pamuk argues, is to ensure that democracies can expose and contest the assumptions and omissions of scientists, instead of choosing between wholesale acceptance or rejection of expertise. To this end, she argues for institutions that support scientific dissent, proposes an adversarial “science court” to facilitate the public scrutiny of science, reimagines structures for funding scientific research, and provocatively suggests restricting research into dangerous new technologies. Through rigorous philosophical analysis and fascinating examples, Politics and Expertise moves the conversation beyond the dichotomy between technocracy and populism and develops a better answer for how to govern and use science democratically.




Experimental Political Science and the Study of Causality


Book Description

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.