survey_item | R Documentation |
The Cooperative Congressional Election Stuides (CCES) item (cc418_1) asked: "Would you approve of the use of U.S. military troops in order to ensure the supply of oil?" The original 2008 CCES item contains 36,832 respondents. This sample mimics a typical national survey. It contains at least 5 respondents from each state but is otherwise a random sample.
survey_item
A data frame with 1500 rows and 13 variables:
1 if individual supports use of troops; 0 otherwise
Age group (four categories: 1 = 18-29; 2 = 30-44; 3 = 45-64; 4 = 65+)
Education level (four categories: 1 = < high school; 2 = high school graduate; 3 = some college; 4 = college graduate)
Gender-race combination (six categories: 1 = white male; 2 = black male; 3 = hispanic male; 4 = white female; 5 = black female; 6 = hispanic female)
U.S. state
U.S. state id
U.S. region (four categories: 1 = Northeast; 2 = Midwest; 3 = South; 4 = West)
Normalized state-level share of votes for the Republican candidate in the previous presidential election
Normalized state-level percentage of Evangelical Protestant or Mormon respondents
Normalized state-level percentage of the population living in urban areas
Normalized state-level unemployment rate
Normalized state-level share of Hispanics
Normalized state-level share of Whites
The data set (excluding L2.x3, L2.x4, L2.x5, L2.x6) is taken from the article: Buttice, Matthew K, and Benjamin Highton. 2013. "How does multilevel regression and poststrat-stratification perform with conventional national surveys?" Political Analysis 21(4): 449-467. It is a random sample with at least 5 respondents per state. L2.x3, L2.x3, L2.x4, L2.x5 and L2.x6 are available at https://www.census.gov.
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