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<table width="100%" summary="page for politicalInformation"><tr><td>politicalInformation</td><td align="right">R Documentation</td></tr></table>

<h2>Interviewer ratings of respondent levels of political information</h2>

<h3>Description</h3>


<p>Interviewers administering the 2000 American National Election Studies
assigned an ordinal rating to each respondent's &quot;general
level of information&quot; about politics and public affairs.
</p>


<h3>Usage</h3>

<pre>data(politicalInformation)</pre>


<h3>Format</h3>


<p>A data frame with 1807 observations on the following 8 variables.
</p>

<dl>
<dt><code>y</code></dt><dd><p>interviewer rating, a factor with levels <code>Very Low</code> <code>Fairly Low</code> <code>Average</code> <code>Fairly High</code> <code>Very High</code></p>
</dd>
<dt><code>collegeDegree</code></dt><dd><p>a factor with levels <code>No</code> <code>Yes</code></p>
</dd>
<dt><code>female</code></dt><dd><p>a factor with levels <code>No</code> <code>Yes</code></p>
</dd>
<dt><code>age</code></dt><dd><p>a numeric vector, respondent age in years</p>
</dd>
<dt><code>homeOwn</code></dt><dd><p>a factor with levels <code>No</code> <code>Yes</code></p>
</dd>
<dt><code>govt</code></dt><dd><p>a factor with levels <code>No</code> <code>Yes</code></p>
</dd>
<dt><code>length</code></dt><dd><p>a numeric vector, length of ANES pre-election
interview in minutes</p>
</dd>
<dt><code>id</code></dt><dd><p>a factor, unique identifier for each interviewer</p>
</dd>
</dl>



<h3>Details</h3>


<p>Seven respondents have missing data on the ordinal interviewer rating.
The covariates <code>age</code> and <code>length</code> also have some missing data.
</p>


<h3>Source</h3>


<p>The National Election Studies (www.electionstudies.org). THE 2000
NATIONAL ELECTION STUDY [dataset]. Ann Arbor, MI: University of
Michigan, Center for Political Studies [producer and distributor].  
</p>


<h3>References</h3>


<p>Jackman, Simon. 2009.  <EM>Bayesian Analysis for the Social
Sciences</EM>.  Wiley: Hoboken, New Jersey.
</p>


<h3>Examples</h3>

<pre>
data(politicalInformation)

table(politicalInformation$y,exclude=NULL)

require(MASS)
op &lt;- polr(y ~ collegeDegree + female + log(age) + homeOwn + govt + log(length),
           data=politicalInformation,
           Hess=TRUE,
           method="probit")
</pre>


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