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\name{politicalInformation}
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\alias{politicalInformation}
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\title{Interviewer ratings of respondent levels of political information}
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Interviewers administering the 2000 American National Election Studies
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assigned an ordinal rating to each respondent's "general
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level of information" about politics and public affairs.
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\usage{data(politicalInformation)}
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A data frame with 1807 observations on the following 8 variables.
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\item{\code{y}}{interviewer rating, a factor with levels \code{Very Low} \code{Fairly Low} \code{Average} \code{Fairly High} \code{Very High}}
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\item{\code{collegeDegree}}{a factor with levels \code{No} \code{Yes}}
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\item{\code{female}}{a factor with levels \code{No} \code{Yes}}
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\item{\code{age}}{a numeric vector, respondent age in years}
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\item{\code{homeOwn}}{a factor with levels \code{No} \code{Yes}}
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\item{\code{govt}}{a factor with levels \code{No} \code{Yes}}
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\item{\code{length}}{a numeric vector, length of ANES pre-election
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\item{\code{id}}{a factor, unique identifier for each interviewer}
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Seven respondents have missing data on the ordinal interviewer rating.
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The covariates \code{age} and \code{length} also have some missing data.
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The National Election Studies (www.electionstudies.org). THE 2000
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NATIONAL ELECTION STUDY [dataset]. Ann Arbor, MI: University of
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Michigan, Center for Political Studies [producer and distributor].
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Jackman, Simon. 2009. \emph{Bayesian Analysis for the Social
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Sciences}. Wiley: Hoboken, New Jersey.
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data(politicalInformation)
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table(politicalInformation$y,exclude=NULL)
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op <- polr(y ~ collegeDegree + female + log(age) + homeOwn + govt + log(length),
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data=politicalInformation,