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\name{GermanParties2009}
\alias{GermanParties2009}
\encoding{latin1}
\title{Choice among German Political Parties}
\description{
Preferences of 192 respondents choosing among five German political parties
and abstention from voting.
}
\usage{data("GermanParties2009")}
\format{
A data frame containing 192 observations on 6 variables.
\describe{
\item{preference}{Paired comparison of class \code{\link{paircomp}}.
All 15 pairwise choices among five German parties and abstention from
voting.}
\item{ordered.pref}{Ordered paired comparison of class
\code{\link{paircomp}}. Same as \code{preference}, but within-pair order
is recognized.}
\item{gender}{Factor coding gender.}
\item{age}{Integer. Age of the respondents in years.}
\item{education}{Ordered factor. Level of education: 1 no degree, 2
Hauptschule (Secondary General School), 3 Realschule (Intermediate
Secondary School), 4 Gymnasium (High School), 5 Studium (University)}
\item{crisis}{Factor. Do you feel affected by the economic crisis?}
\item{interviewer}{Factor. Interviewer id.}
}
}
\details{
A survey was conducted at the Department of Psychology, Universitt
Tbingen, in June 2009, three months before the German election. The sample
was stratified by gender and age (younger versus older than 30 years) with
48 participants in each group.
The parties to be compared were Die Linke (socialists), Die Grnen
(ecologists), SPD (social democrats), CDU/CSU (conservatives), and FDP
(liberals). In addition, there was the option of abstaining from voting
(coded as \code{none}).
Participants were presented with 15 pairs of options in random order. On
each trial, their task was to choose the party they would rather vote for at
an election for the German parliament. A given participant compared each
pair in one order only, hence the NA's in \code{ordered.pref}.
In order to minimize response biases, the pairs of options were read to the
participants one at a time. Participants made their choices by crossing
either \dQuote{First Option} or \dQuote{Second Option} on an anonymous
response sheet.
The interviewers were Psychology Master's students who collected the data
for course credits. Since they mainly interviewed people they knew, the
results are not representative of the political opinions in Germany. As far
as the winner of the survey (Die Grnen) is concerned, however, the results
agree with the outcome of the election for the Tbingen voters.
The results of the election on September 27, 2009 (number of
so-called Zweitstimmen in percent) were:
\tabular{lrr}{
\tab Germany \tab Tbingen\cr
Die Linke \tab 11.9 \tab 8.5\cr
Die Grnen \tab 10.7 \tab 27.9\cr
SPD \tab 23.0 \tab 21.1\cr
CDU/CSU \tab 33.8 \tab 23.0\cr
FDP \tab 14.6 \tab 13.9\cr
Others \tab 6.0 \tab 5.7\cr
}
The voter turnout was 70.8 percent in Germany and 80.5 percent in Tbingen.
}
\seealso{\code{\link{paircomp}}}
\examples{
data("GermanParties2009", package = "psychotools")
summary(GermanParties2009$preference)
}
\keyword{datasets}
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