WilPat2

This dataset contains a modified version of the classical Wilson-Patterson conservatism scale. Here we use a subset of the data included in the <code>MPsychoR</code> package.

datasets

Implements categorical principal component analysis ('PRINCALS'), multiple correspondence analysis ('HOMALS'), monotone regression analysis ('MORALS'). It replaces the 'homals' package.

Patrick Mair

Gifi

Multivariate Analysis with Optimal Scaling

Jan De Leeuw

Patrick J. F. Groenen

WilPat2 function

The first 15 items are conservative items, the remaining ones are liberal. Each item has the following response categories: 0 ... disapprove, 1 ... approve, 2 ... don't know. There are 493 persons in the sample. In addition there are the following covariates:<dl>
	<dt><code>Country</code></dt>
<dd>Participant's country.</dd> <dt><code>LibCons</code></dt>
<dd>Self-reported liberalism/conservatism.</dd> <dt><code>LeftRight</code></dt>
<dd>Self-reported left/right identification.</dd> <dt><code>Gender</code></dt>
<dd>Gender.</dd> <dt><code>Age</code></dt>
<dd>Age.</dd>
</dl>

Format

Wilson-Patterson Conservatism Scale — WilPat2

The first 15 items are conservative items, the remaining ones are liberal. Each item has the following response categories: 0 ... disapprove, 1 ... approve, 2 ... don't know. There are 493 persons in the sample. In addition there are the following covariates:<dl>
	<dt><code>Country</code></dt>
<dd>Participant's country.</dd>

 <dt><code>LibCons</code></dt>
<dd>Self-reported liberalism/conservatism.</dd>

 <dt><code>LeftRight</code></dt>
<dd>Self-reported left/right identification.</dd>

 <dt><code>Gender</code></dt>
<dd>Gender.</dd>

 <dt><code>Age</code></dt>
<dd>Age.</dd>


</dl>

WilPat2: Wilson-Patterson Conservatism Scale

Description

Usage

Arguments

Format

Examples