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DTSTART:20251102T020000
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DESCRIPTION:CPR Methods Virtual Seminar (Political Science Department)Surve
 y research has experienced significant change in the past 50 years\, but p
 erhaps no more so than in the past decade. These include significant decli
 nes in participation\; the rise of nonprobability/opt-in samples and the r
 ise of nonprobability fraud\; changes in preferred modalities from the pre
 dominant telephone to panels and address-based designs\; and now\, the imp
 act and future of synthetic data. In this educational session\, we'll shar
 e perspectives on challenges affecting the field and discuss practical con
 siderations for maintaining data quality in a rapidly changing environment
 . Topics include:Choosing among probability\, nonprobability and synthetic
  approaches based on research objectivesThe opportunities and limitations 
 of synthetic data and AI in survey researchEmerging threats to data qualit
 y\, including fraud in opt-in surveysStrategies for conducting high-qualit
 y probability-based research efficiently and cost effectivelyHow to decide
  on research designs that best fit your research needs\, maximizing qualit
 y at any budgetPresenters:David Dutwin\, former president of the American 
 Association for Public Opinion ResearchTing Yan\, survey methodologist and
  AI thought leader at NORC at the University of ChicagoIpek Bilgen\, chief
  methodologist of AmeriSpeak at NORC at the University of Chicago
DTEND:20261008T204500Z
DTSTAMP:20260924T164805Z
DTSTART:20261008T193000Z
LOCATION:
SEQUENCE:0
SUMMARY:Survey Research: State of the Art and Where Do We Go From Here?
UID:RFCALITEM639258508853738891
X-ALT-DESC;FMTTYPE=text/html:<p>CPR Methods Virtual Seminar (Political Scie
 nce Department)</p><p><span style="background-color: rgba(0\, 0\, 0\, 0)\;
  color: inherit\; font-family: inherit\; font-size: inherit\; text-align: 
 inherit\; text-transform: inherit\; word-spacing: normal\; caret-color: au
 to\; white-space: inherit">Survey research has experienced significant cha
 nge in the past 50 years\, but perhaps no more so than in the past decade.
  These include significant declines in participation\; the rise of nonprob
 ability/opt-in samples and the rise of nonprobability fraud\; changes in p
 referred modalities from the predominant telephone to panels and address-b
 ased designs\; and now\, the impact and future of synthetic data. In this 
 educational session\, we'll share perspectives on challenges affecting the
  field and discuss practical considerations for maintaining data quality i
 n a rapidly changing environment. Topics include:</span></p><ul><li>Choosi
 ng among probability\, nonprobability and synthetic approaches based on re
 search objectives</li><li>The opportunities and limitations of synthetic d
 ata and AI in survey research</li><li>Emerging threats to data quality\, i
 ncluding fraud in opt-in surveys</li><li>Strategies for conducting high-qu
 ality probability-based research efficiently and cost effectively</li><li>
 How to decide on research designs that best fit your research needs\, maxi
 mizing quality at any budget<br></li></ul><p>Presenters:</p><p>David Dutwi
 n\, former president of the American Association for Public Opinion Resear
 ch</p><p>Ting Yan\, survey methodologist and AI thought leader at NORC at 
 the University of Chicago</p><p>Ipek Bilgen\, chief methodologist of Ameri
 Speak at NORC at the University of Chicago</p>
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