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Experimental Methods in Survey Research

Techniques that Combine Random Sampling with Random Assignment
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Experimental Methods in Survey Research delves into the various experimental approaches utilised in the study of survey research. It examines methodologies and techniques for designing surveys, collecting data, and analysing results to enhance the reliability and validity of survey findings. Aimed at both researchers and practitioners, it provides insights into crafting comprehensive surveys that effectively capture public opinion.
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Format: Hardback
$32200

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This book may appeal to you if you are interested in advanced techniques for designing and conducting surveys, particularly in exploring how different experimental methods can improve survey quality and accuracy. You'll find value in its practical insights if you're involved in social science research or interested in enhancing your understanding of data collection methods in the field.

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Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

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 into 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, minimising interview measurement bias, using adaptive design, trend data, vignettes, the analysis of data from survey experiments, and other topics, across social, behavioural, 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 maximise 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 recognised 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 behavioural 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 analysing 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 as 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.

Series: Wiley Series in Survey Methodology

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  • Experimental Methods in Survey Research
    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...
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Book Details

INFORMATION

ISBN: 9781119083740

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 15 November 2019

Country: United States

Imprint: John Wiley & Sons Inc

Contributors:

  • Edited by Edith D. de Leeuw
  • Edited by Brady T. West
  • Edited by Paul J. Lavrakas
  • Edited by Michael W. Traugott
  • Edited by Courtney Kennedy
  • Edited by Allyson L. Holbrook

Audience: Professional and scholarly

DIMENSIONS

Spine width: 31.0mm

Width: 183.0mm

Height: 262.0mm

Weight: 1315g

Pages: 544

About the Author

Paul J. Lavrakas, PhD, is Senior Fellow at the NORC at the University of Chicago, Adjunct Professor at University of Illinois-Chicago, Senior Methodologist at the Social Research Centre of Australian National University and at the Office for Survey Research at Michigan State University.

Michael W. Traugott, PhD, is Research Professor in the Institute for Social Research at the University of Michigan.

Courtney Kennedy, PhD, is Director of Survey Research at Pew Research Center in Washington, DC.

Allyson L. Holbrook, PhD, is Professor of Public Administration and Psychology at the University of Illinois-Chicago.

Edith D. de Leeuw, PhD, is Professor of Survey Methodology in the Department of Methodology and Statistics at Utrecht University.

Brady T. West, PhD, is Research Associate Professor in the Survey Research Center at the University of Michigan-Ann Arbor.

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