Atjaunināt sīkdatņu piekrišanu

Polling at a Crossroads: Rethinking Modern Survey Research [Hardback]

(Georgetown University, Washington DC)
  • Formāts: Hardback, 290 pages, height x width x depth: 235x159x22 mm, weight: 560 g, Worked examples or Exercises
  • Sērija : Methodological Tools in the Social Sciences
  • Izdošanas datums: 07-Mar-2024
  • Izdevniecība: Cambridge University Press
  • ISBN-10: 1108482791
  • ISBN-13: 9781108482790
Citas grāmatas par šo tēmu:
  • Hardback
  • Cena: 106,73 €
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Formāts: Hardback, 290 pages, height x width x depth: 235x159x22 mm, weight: 560 g, Worked examples or Exercises
  • Sērija : Methodological Tools in the Social Sciences
  • Izdošanas datums: 07-Mar-2024
  • Izdevniecība: Cambridge University Press
  • ISBN-10: 1108482791
  • ISBN-13: 9781108482790
Citas grāmatas par šo tēmu:
Public opinion polling is in crisis. People aren't responding to polls and misses in critical elections have undermined the field's credibility. Polling at a Crossroads points a way forward by presenting an intuitive new paradigm that confronts the full spectrum of challenges facing modern polling.

Survey research is in a state of crisis. People have become less willing to respond to polls and recent misses in critical elections have undermined the field's credibility. Pollsters have developed many tools for dealing with the new environment, an increasing number of which rely on risky opt-in samples. Virtually all of these tools require that respondents in each demographic category are a representative sample of all people in each demographic category, something that is unlikely to be reliably true. Polling at a Crossroads moves beyond such strong limitations, providing tools that work even when survey respondents are unrepresentative in complex ways. This book provides case studies that show how to avoid underestimating Trump support and how conventional polls exaggerate partisan differences. This book also helps us think in clear and sometimes counterintuitive ways and points toward simple, low-cost changes that can better address contemporary polling challenges.

Recenzijas

'Throughout the masterful Polling at a Crossroads, Bailey provides a lucid explanation of the problems pollsters face and a compelling argument for why a new approach is needed. By bringing ideas and insights from various disciplines together, Bailey shows how pollsters can move beyond past approaches to tackle increasingly consequential issues related to survey non-response; respondents now differ from non-respondents in unobservable ways. In describing the issues confronting contemporary polling, the book builds to a convincing and forceful advocacy for the use of selection models in survey research and, in so doing, it provides a perspective that every pollster must consider going forward.' Josh Clinton, Abby and Jon Winkelried Chair, Vanderbilt University 'The idea of learning about a country of 300 millions from a sample of 300 is extremely seductive. But seduction often comes with dangers. Bailey's timely book explains why the dangers are increasingly fatal, and how the field of polling may save itself.' Xiao-Li Meng, Whipple V. N. Jones Professor of Statistics, Harvard University

Papildus informācija

Polling at a Crossroads presents an intuitive paradigm that allows us to understand and confront the challenges facing modern polling.
Part I. Polling in Context:
1. Modern Polling: Challenges and Opportunities;
2. The Story of Polling in 2.5 Fiascos;
3. Weighting: An Appreciation and Critique;
4. The Wild West of Contemporary Polling; Part II. A Framework for Modern Polling:
5. Non-Ignorable Non-Response;
6. Contemporary Polling and Non-Ignorable Non-Response; Part III. Fighting Non-Ignorable Non-Response:
7. Bounding Damage from Non-Ignorable Non-Response;
8. Selection Models for Non-Ignorable Non-Response;
9. Next Generation Selection Models;
10. Randomized Response Instruments;
11. Putting it Together; Part IV Applications:
12. Non-Ignorable Non-Response in Political Surveys;
13. Non-Ignorable Non-Response in Public Health;
14. Conclusion.
Michael A. Bailey is Walsh Professor in the Department of Government and McCourt School of Public Policy at Georgetown University, where he directs the Data Science for Public Policy program. His research has been published in top academic journals. He is author of Real Econometrics (2020) and The Constrained Court (2011).