DOI: 10.3886/e208422
title: NSF Award #2224943 RAPID: Comparative Study of Rally Effects During the Ukraine War

description: Three wave, three country survey from 2022 measuring attitudes towards the war in Ukraine and free speech. The three countries are the United States, United Kingdom, and Germany. Survey firm is YouGov. Due to an error, no respondents in the previous East Germany were interviewed.
description: Residents of the various countries at least 18 years of age.
description: <b>Germany</b>YouGov interviewed 1632 DE respondents who were then matched down to a sample of 1500 to produce the final dataset. The respondents were matched to a sampling frame on gender, age, and education. The frame was constructed by stratified sampling from the full Eurobarometer 2019 1-year sample with selection within strata by weighted sampling with replacements (using the person weights on the public use file). The sampling frame was constructed based on the DE states that were surveyed by YouGov.YouGov conducted the survey in the following DE states and used matching and weighting benchmarks subset on these states: Baden-Wurttemberg, Bremen, Hamburg, Hesse, Lower Saxony, North Rhine-Westphalia, Rheinland-Pfalz, Saarland, and Schleswig-Holstein. The matched cases were weighted to the sampling frame using propensity scores. The matched cases and the frame were combined and a logistic regression was estimated for inclusion in the frame. The propensity score function included age, gender, years of education, and region. The propensity scores were grouped into deciles of the estimated propensity score in the frame and post-stratified according to these deciles.The weights were then post-stratified on 2021 Bundestag election vote, a two-way stratification of age and region, a two-way stratification of education and region, and a three-way stratification of gender, age (4-categories), and education (4-categories), to produce the final weight.<br><b>United Kingdom</b>YouGov interviewed 1744 UK respondents who were then matched down to a sample of 1500 to produce the final dataset. The respondents were matched to a sampling frame on gender, age, and education. The frame was constructed by stratified sampling from the full Eurobarometer 2019 1-year sample with selection within strata by weighted sampling with replacements (using the person weights on the public use file).The matched cases were weighted to the sampling frame using propensity scores. The matched cases and the frame were combined and a logistic regression was estimated for inclusion in the frame. The propensity score function included age, gender, years of education, and region. The propensity scores were grouped into deciles of the estimated propensity score in the frame and post-stratified according to these deciles.The weights were then post-stratified on 2019 General Election vote, a three-way stratification of gender, age (4-categories), and education (4-categories), to produce the final weight. The weights for those who completed all waves were addition the were weighted by Iterative Proportional Fitting (IPF) Procedure on gender, age, and education.<br><b>United States</b>YouGov interviewed 1779 US respondents who were then matched down to a sample of 1500 to produce the final dataset. The respondents were matched to a sampling frame on gender, age, race, and education. The frame was constructed by stratified sampling from the full 2019 American Community Survey (ACS) 1-year sample with selection within strata by weighted sampling with replacements (using the person weights on the public use file).The matched cases were weighted to the sampling frame using propensity scores. The matched cases and the frame were combined and a logistic regression was estimated for inclusion in the frame. The propensity score function included age, gender, race/ethnicity, years of education, and region. The propensity scores were grouped into deciles of the estimated propensity score in the frame and post-stratified according to these deciles.The weights were then post-stratified on 2016 and 2020 Presidential vote choice, and a four-way stratification of gender, age (4-categories), race (4-categories), and education (4-categories), to produce the final weight. The weights for those who completed all three waves were additionally weighted with a two-way stratification of race (4-categories), and education (4-categories).