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Measuring Public Opinion
Sat, September 7, 8:00 to 9:30am, Pennsylvania Convention Center (PCC), 106BSession Submission Type: Created Panel
Session Description
The panel explores advancements in survey design and modeling to improve the accuracy and reliability of political opinion estimation. The papers discuss advances in multilevel regression and poststratification (MRP) techniques and its variants, offer insights into opinion co-evolution across different domains, address challenges such as acquiescence bias, and offer insights into the study of second-order opinions.
Sub Unit
Individual Presentations
A Comparison of Deep Hierarchical Models and Machine Learning for MRP - Florian Simon Schaffner, University of Zurich; Philipp Broniecki, University of Oslo; Lucas Leemann, University of Zurich; Reto Wueest, University of Bergen
Leveraging Time-Series Information to Improve Small-Area Estimation - Isaac Mehlhaff, Texas A&M University
Tackling Acquiescence Bias in Opinion Surveys: Efficacy of Bipolar-Item Scales - Ziyi Chen, Tsinghua University; Yiqing Xu, Stanford University
The Evolution of Political Ideology Axes in the United States, 1984–2020 - Sergio Galaz García, Universidad Carlos III de Madrid (UC3M)