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Measurement and Analysis of Public Opinion : An Analytic Framework / Dylan Rebstock, Tina M. Winters, Emma Fine, editors.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Intelligence service--United States.
- Intelligence service.
- Public opinion--Measurement.
- Public opinion.
- Public opinion--United States.
- Physical Description:
- 1 online resource (241 pages)
- Edition:
- First edition.
- Place of Publication:
- Washington, DC : The National Academies Press, [2022]
- Summary:
- This book, 'Measurement and Analysis of Public Opinion: An Analytic Framework,' offers a comprehensive examination of the methodologies and frameworks used to assess public opinion. Edited by Dylan Rebstock, Tina Winters, and Emma Fine, it is a collaborative effort under the auspices of the National Academies of Sciences, Engineering, and Medicine. The book addresses the complexities of measuring public opinion, providing insights into behavioral, cognitive, and sensory sciences. It aims to support intelligence analysts and policymakers in understanding public sentiment and its implications for decision-making. Intended for a professional audience, particularly those in social sciences and public policy, the publication is supported by the National Science Foundation and reviewed by experts to ensure quality and objectivity. Generated by AI.
- Contents:
- Intro
- FrontMatter
- Acknowledgment of Reviewers
- Additional Acknowledgments
- Acronyms
- Contents
- Introduction
- Layer 1 Graphic
- Layer 2 Synthesis
- Synthesis: Using Public Opinion Research to Answer an Intelligence Question-Rona Briere
- Layer 3 Foundational White Papers
- 3A Drawing Inferences fromPublic Opinion Surveys: Insights for Intelligence Reports-René Bautista
- 3B Alternatives to Probability-Based Surveys Representative of the General Population for Measuring Attitudes-Ashley Amaya
- 3C Ascertaining True Attitudes in Survey Research-Kanisha D. Bond
- 3D Integrating Data Across Sources-Josh Pasek and Sunghee Lee
- Appendix: Biographical Sketches of Expert Contributors, Authors, and Staff.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Part of the metadata in this record was created by AI, based on the text of the resource.
- Description based on print version record.
- ISBN:
- 9780309273411
- 0309273412
- OCLC:
- 1356005967
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