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

This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and model data using Computational Social Science (CSS) for policy support. Up to now, CSS studies have mostly developed on a small, proof-of concept, scale that prevented from unleashing its potential to provide systematic impact to the policy cycle, as well as from improving the understanding of societal problems to the definition, assessment, evaluation, and monitoring of policies. The aim of this handbook is to fill this gap by exploring ways to analyse and model data for policy support, and to advocate the adoption of CSS solutions for policy by raising awareness of existing implementations of CSS in policy-relevant fields. To this end, the book explores applications of computational methods and approaches like big data, machine learning, statistical learning, sentiment analysis, text mining, systems modelling, and network analysis to different problems in the social sciences. The book is structured into three Parts: the first chapters on foundational issues open with an exposition and description of key policymaking areas where CSS can provide insights and information. In detail, the chapters cover public policy, governance, data justice and other ethical issues. Part two consists of chapters on methodological aspects dealing with issues such as the modelling of complexity, natural language processing, validity and lack of data, and innovation in official statistics. Finally, Part three describes the application of computational methods, challenges and opportunities in various social science areas, including economics, sociology, demography, migration, climate change, epidemiology, geography, and disaster management. The target audience of the book spans from the scientific community engaged in CSS research to policymakers interested in evidence-informed policy interventions, but also includes private companies holding data that can be used to study social sciences and are interested in achieving a policy impact.

This substantially revised second edition of The Routledge Handbook of Research Methods in the Study of Religion remains the only comprehensive survey in English of methods and methodology in the discipline. Designed for non-specialists and upper undergraduate-/graduate-level students, it discusses the range of methods currently available to stimulate interest in unfamiliar methods and enable students and scholars to evaluate methodological issues in research. The Handbook comprises 39 chapters – 21 of which are new, and the rest revised for this edition. A total of 56 contributors from 10 countries cover a broad range of topics divided into three clear parts: • Methodology • Methods • Techniques The first section addresses general methodological issues: including comparison, research design, research ethics, intersectionality, and theorizing/analysis. The second addresses specific methods: including advanced computational methods, autoethnography, computational text analysis, digital ethnography, discourse analysis, experiments, field research, grounded theory, interviewing, reading images, surveys, and videography. The final section addresses specific techniques: including coding, focus groups, photo elicitation, and survey experiments. Each chapter covers practical issues and challenges, theoretical bases, and their use in the study of religion/s, illustrated by case studies. The Routledge Handbook of Research Methods in the Study of Religion is essential reading for students and researchers in the study of religion/s, as well as for those in related disciplines.

Providing an up-to-date portrait of the concepts and methods of analytical sociology, this pivotal Research Handbook traces the historical evolution of the field, utilising key research examples to illustrate its core principles. It investigates how analytical sociology engages with other approaches such as analytical philosophy, structural individualism, social stratification research, complexity science, pragmatism, and critical realism, exploring the foundations of the topic as well as its major explanatory mechanisms and methods.

This book guides you through designing and implementing an online experiment in social science research in a clear and straightforward manner. At an approachable pace, it covers foundational principles of good experimental design before setting out best practice for how to design and conduct web experiments, taking into account the specific methodological challenges of working online with digital tools. The book: Offers practical advice for approaching every stage of the research process Breaks real-world examples into easy to follow steps Focuses on how to make good decisions and choose the right design for your research project This pragmatic guide helps beginner researchers get started with online experiments confidently. It is supported by online resources such as case studies which allow you to see the concepts in practice, and weblinks to tools and resources to aid you.

A thorough and comprehensive guide to the theoretical, practical, and methodological approaches used in survey experiments across disciplines such as political science, health sciences, sociology, economics, psychology, and marketing This book explores and explains the broad range of experimental designs embedded in surveys that use both probability and non-probability samples. It approaches the usage of survey-based experiments with a Total Survey Error (TSE) perspective, which provides insight on the strengths and weaknesses of the techniques used. Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment addresses experiments on within-unit coverage, reducing nonresponse, question and questionnaire design, minimizing interview measurement bias, using adaptive design, trend data, vignettes, the analysis of data from survey experiments, and other topics, across social, behavioral, and marketing science domains. Each chapter begins with a description of the experimental method or application and its importance, followed by reference to relevant literature. At least one detailed original experimental case study then follows to illustrate the experimental method’s deployment, implementation, and analysis from a TSE perspective. The chapters conclude with theoretical and practical implications on the usage of the experimental method addressed. In summary, this book: Fills a gap in the current literature by successfully combining the subjects of survey methodology and experimental methodology in an effort to maximize both internal validity and external validity Offers a wide range of types of experimentation in survey research with in-depth attention to their various methodologies and applications Is edited by internationally recognized experts in the field of survey research/methodology and in the usage of survey-based experimentation —featuring contributions from across a variety of disciplines in the social and behavioral sciences Presents advances in the field of survey experiments, as well as relevant references in each chapter for further study Includes more than 20 types of original experiments carried out within probability sample surveys Addresses myriad practical and operational aspects for designing, implementing, and analyzing survey-based experiments by using a Total Survey Error perspective to address the strengths and weaknesses of each experimental technique and method Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment is an ideal reference for survey researchers and practitioners in areas such political science, health sciences, sociology, economics, psychology, public policy, data collection, data science, and marketing. It is also a very useful textbook for graduate-level courses on survey experiments and survey methodology.

The methodologies used to study public opinion are now in flux. The primary polling method of the last half-century, the telephone survey, is rapidly becoming obsolete as a data collection method. At the same time, new methods of contacting potential respondents and obtaining their response are appearing, providing a variety of options for scholars and practitioners. Generally speaking, we are moving from a polling world that was largely interviewer driven over the phone and face-to-face to predominantly interviewer driven self-administered poll environments, New methods of data collection, however, must still deal with fundamental questions to polling methodology and total survey error including sampling, selection bias, non-response error, poststratification weighting, and questionnaire design features. The Oxford Handbook on Polling and Survey Methods brings together a unique mixture of academics and practitioners, from various backgrounds, academic disciplines, and experiences. In some sense, this is reflective of the interdisciplinary nature of the polling and survey industry: polls and surveys are widely used in academia, government, and the private sector. Designing, implementing, and analyzing high quality, accurate, and cost-effective polls and surveys requires a combination of skills and methodological perspectives. Despite the well-publicized issues that have cropped up in recent political polling, a great deal is known today about how to collect high quality polling and survey data even in complex and difficult environments. Divided into four main sections, the Handbook draws on the existing research and explores data collection methods. It then addresses data analysis and the methods available for combining polling data with other types of data. The next section covers analytic issues, including the new approaches to studying public opinion (ie social media, the analysis of open-ended questions using text analytic tools, and data imputation). The final section focuses on the presentation of polling results, an area where there is a great deal of innovation. A comprehensive overview of the topic, this volume highlights current polling trends provides ideas for the development of new and better approaches for measuring, modeling, and visualizing public opinion and social behavior.

An overview of experimental research and methods in public management, and their impact on theory, research practices and substantive knowledge.

22 out of the 26 Chapters will be available Open Access on Elgaronline when the book is published. The Handbook of Sociological Science offers a refreshing, integrated perspective on research programs and ongoing developments in sociological science. It highlights key shared theoretical and methodological features, thereby contributing to progress and cumulative growth of sociological knowledge.

Notwithstanding its contemporary critics, political representation remains at the core of democratic politics. Based on a comparative research project that gathered data from observations, surveys, experiments and expert interviews, this book examines the process and the quality of political representation in France and Germany from a dual perspective. First, it analyzes MPs’ behavior during their district activities. Second, it investigates the perceptions and evaluations of the represented, the French and German citizens. In ten chapters different facets of MPs’ activities as well as citizens’ attitudes are comparatively investigated. The book is relevant for Politics scholars and practitioners at national parliaments to better understand representative democracies, and it may also contribute to improve representation itself.