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Author: James N. Druckman Publisher: Cambridge University Press ISBN: 1108478506 Category : Political Science Languages : en Pages : 671
Book Description
Novel collection of essays addressing contemporary trends in political science, covering a broad array of methodological and substantive topics.
Author: James N. Druckman Publisher: Cambridge University Press ISBN: 1108478506 Category : Political Science Languages : en Pages : 671
Book Description
Novel collection of essays addressing contemporary trends in political science, covering a broad array of methodological and substantive topics.
Author: B. Kittel Publisher: Springer ISBN: 1137016647 Category : Political Science Languages : en Pages : 280
Book Description
An exploration of core problems in experimental research on voting behaviour and political institutions, ranging from design and data analysis to inferences with respect to constructs, constituencies and causal claims. The focus of is on the implementation of principles in experimental political science and the reflection of actual practices.
Author: James N. Druckman Publisher: Cambridge University Press ISBN: 0521192129 Category : Political Science Languages : en Pages : 577
Book Description
This volume provides the first comprehensive overview of how political scientists have used experiments to transform their field of study.
Author: Rebecca B. Morton Publisher: Cambridge University Press ISBN: 1139490532 Category : Political Science Languages : en Pages : 607
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.
Author: Peter John Publisher: Routledge ISBN: 1317680170 Category : Political Science Languages : en Pages : 208
Book Description
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.
Author: Elizabeth A. Bennion Publisher: Edward Elgar Publishing ISBN: 9781802208788 Category : Languages : en Pages : 0
Book Description
This insightful book delivers a wealth of innovative ideas, models, examples, and advice for teaching experimental political science in the classroom and beyond, emphasising that teaching experimental research is necessary to prepare students to succeed as researchers, practitioners, active citizens and civic leaders. It illustrates how teaching experimental methods sparks students' curiosity by allowing them to ask and answer questions about the world they live in. With a core focus on successfully engaging a diverse range of students at all levels, this book includes a variety of approaches from contributing authors who are leading scholars in their field. Chapters provide both new and experienced teachers with concrete guidance on how to: facilitate student-designed survey experiments into the classroom, use workbooks and templates to overcome mathematical and writing anxiety; use mock Institutional Review Board (IRB) reviews to teach students about the ethics of experimental research; follow an apprenticeship model to teach students to carry out their own lab experiments; and train students to go out into the field. Proposed models of teaching are supported throughout by the latest empirical research on the science of learning. Teaching Experimental Political Sciencewill be a key resource for faculty and staff working across a variety of educational contexts including political science, international relations, international politics, domestic politics, public administration and public policy.
Author: Ryan Brutger Publisher: Cambridge University Press ISBN: 1009002635 Category : Political Science Languages : en Pages : 151
Book Description
Political scientists designing experiments often face the question of how abstract or detailed their experimental stimuli should be. Typically, this question is framed in terms of tradeoffs relating to experimental control and generalizability: the more context introduced into studies, the less control, and the more difficulty generalizing the results. Yet, we have reason to question this tradeoff, and there is relatively little systematic evidence to rely on when calibrating the degree of abstraction in studies. We make two contributions. First, we provide a theoretical framework which identifies and considers the consequences of three dimensions of abstraction in experimental design: situational hypotheticality, actor identity, and contextual detail. Second, we field a range of survey experiments, varying these levels of abstraction. We find that situational hypotheticality does not substantively change experimental results, but increased contextual detail dampens treatment effects and the salience of actor identities moderates results in specific situations.
Author: James N. Druckman
Author: James N. Druckman
Author: B. Kittel
Author: James N. Druckman
Author: Donald R. Kinder
Author: Rebecca B. Morton
Author: Peter John
Author: Elizabeth A. Bennion
Author: Ryan Brutger
Author: Jamie Druckman
Author: J. A. Laponce