R Dataset / Package pscl / vote92

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Attachment	Size
dataset-40127.csv	35.99 KB

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Dataset Help
On this Picostat.com statistics page, you will find information about the vote92 data set which pertains to Reports of voting in the 1992 U.S. Presidential election.. The vote92 data set is found in the pscl R package. You can load the vote92 data set in R by issuing the following command at the console data("vote92"). This will load the data into a variable called vote92. If R says the vote92 data set is not found, you can try installing the package by issuing this command install.packages("pscl") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the vote92 R data set. The size of this file is about 36,852 bytes.

Dataset Help

On this Picostat.com statistics page, you will find information about the vote92 data set which pertains to Reports of voting in the 1992 U.S. Presidential election.. The vote92 data set is found in the pscl R package. You can load the vote92 data set in R by issuing the following command at the console data("vote92"). This will load the data into a variable called vote92. If R says the vote92 data set is not found, you can try installing the package by issuing this command install.packages("pscl") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the vote92 R data set. The size of this file is about 36,852 bytes.

Documentation

Documentation
Reports of voting in the 1992 U.S. Presidential election. Description Survey data containing self-reports of vote choice in the 1992 U.S. Presidential election, with numerous covariates, from the 1992 American National Election Studies. Usage data(vote92) Format A data frame with 909 observations on the following 10 variables. `vote` a factor with levels `Perot` `Clinton` `Bush` `dem` a numeric vector, 1 if the respondent reports identifying with the Democratic party, 0 otherwise. `rep` a numeric vector, 1 if the respondent reports identifying with the Republican party, 0 otherwise `female` a numeric vector, 1 if the respondent is female, 0 otherwise `persfinance` a numeric vector, -1 if the respondent reports that their personal financial situation has gotten worse over the last 12 months, 0 for no change, 1 if better `natlecon` a numeric vector, -1 if the respondent reports that national economic conditions have gotten worse over the last 12 months, 0 for no change, 1 if better `clintondis` a numeric vector, squared difference between respondent's self-placement on a scale measure of political ideology and the respondent's placement of the Democratic candidate, Bill Clinton `bushdis` a numeric vector, squared ideological distance of the respondent from the Republican candidate, President George H.W. Bush `perotdis` a numeric vector, squared ideological distance of the respondent from the Reform Party candidate, Ross Perot Details These data are unweighted. Refer to the original data source for weights that purport to correct for non-representativeness and non-response. Source Alvarez, R. Michael and Jonathan Nagler. 1995. Economics, issues and the Perot candidacy: Voter choice in the 1992 Presidential election. American Journal of Political Science. 39:714-44. Miller, Warren E., Donald R. Kinder, Steven J. Rosenstone and the National Election Studies. 1999. National Election Studies, 1992: Pre-/Post-Election Study. Center for Political Studies, University of Michigan: Ann Arbor, Michigan. Inter-University Consortium for Political and Social Research. Study Number 1112. http://dx.doi.org/10.3886/ICPSR01112. References Jackman, Simon. 2009. Bayesian Analysis for the Social Sciences. Wiley: Hoboken, New Jersey. Examples 8.7 and 8.8. Examples data(vote92) summary(vote92) -- Dataset imported from https://www.r-project.org.

Reports of voting in the 1992 U.S. Presidential election.

Description

Survey data containing self-reports of vote choice in the 1992 U.S. Presidential election, with numerous covariates, from the 1992 American National Election Studies.

Usage

data(vote92)

Format

A data frame with 909 observations on the following 10 variables.

vote: a factor with levels Perot Clinton Bush
dem: a numeric vector, 1 if the respondent reports identifying with the Democratic party, 0 otherwise.
rep: a numeric vector, 1 if the respondent reports identifying with the Republican party, 0 otherwise
female: a numeric vector, 1 if the respondent is female, 0 otherwise
persfinance: a numeric vector, -1 if the respondent reports that their personal financial situation has gotten worse over the last 12 months, 0 for no change, 1 if better
natlecon: a numeric vector, -1 if the respondent reports that national economic conditions have gotten worse over the last 12 months, 0 for no change, 1 if better
clintondis: a numeric vector, squared difference between respondent's self-placement on a scale measure of political ideology and the respondent's placement of the Democratic candidate, Bill Clinton
bushdis: a numeric vector, squared ideological distance of the respondent from the Republican candidate, President George H.W. Bush
perotdis: a numeric vector, squared ideological distance of the respondent from the Reform Party candidate, Ross Perot

Details

These data are unweighted. Refer to the original data source for weights that purport to correct for non-representativeness and non-response.

Source

Alvarez, R. Michael and Jonathan Nagler. 1995. Economics, issues and the Perot candidacy: Voter choice in the 1992 Presidential election. American Journal of Political Science. 39:714-44.

Miller, Warren E., Donald R. Kinder, Steven J. Rosenstone and the National Election Studies. 1999. National Election Studies, 1992: Pre-/Post-Election Study. Center for Political Studies, University of Michigan: Ann Arbor, Michigan.

Inter-University Consortium for Political and Social Research. Study Number 1112. http://dx.doi.org/10.3886/ICPSR01112.

References

Jackman, Simon. 2009. Bayesian Analysis for the Social Sciences. Wiley: Hoboken, New Jersey. Examples 8.7 and 8.8.

Examples

data(vote92)
summary(vote92)

--

Dataset imported from https://www.r-project.org.

Curated Data	File Size
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