motdat

Self-report data from 90 participants, responding to the IM scale and
12 criterion variables.

datasets

Primarily, the 'qcv' package computes key indices related to the Quantifying Construct
Validity procedure (QCV; Westen & Rosenthal, 2003 <doi:10.1037/0022-3514.84.3.608>;
see also Furr & Heuckeroth, in press). The qcv() function is the heart of the 'qcv' package,
but additional functions in the package provide useful ancillary information related to the QCV procedure.

R. Michael Furr

Quantifying Construct Validity

Sarah Heuckeroth

motdat function

A data frame of 90 rows and 13 variables:<dl class="dl-horizontal">
 <dt>imscale</dt><dd>Impression Motivation</dd>
 <dt>dep</dt><dd>Dependence</dd>
 <dt>mach</dt><dd>Machiavellianism</dd>
 <dt>dis</dt><dd>Distrust</dd>
 <dt>res</dt><dd>Resourcefulness</dd>
 <dt>se</dt><dd>Self-efficacy</dd>
 <dt>ext</dt><dd>Extraversion</dd>
 <dt>agr</dt><dd>Agreeableness</dd>
 <dt>comp</dt><dd>Complexity</dd>
 <dt>psc</dt><dd>Public self-consciousness</dd>
 <dt>sm</dt><dd>Self-monitoring</dd>
 <dt>anx</dt><dd>Anxiety</dd>
 <dt>nfb</dt><dd>Need to belong</dd>
 </dl>

Format

Example data used in Furr &amp; Heuckeroth, on Impression Motivation (IM) — motdat

A data frame of 90 rows and 13 variables:<dl class='dl-horizontal'>
 <dt>imscale</dt><dd>Impression Motivation</dd>
 <dt>dep</dt><dd>Dependence</dd>
 <dt>mach</dt><dd>Machiavellianism</dd>
 <dt>dis</dt><dd>Distrust</dd>
 <dt>res</dt><dd>Resourcefulness</dd>
 <dt>se</dt><dd>Self-efficacy</dd>
 <dt>ext</dt><dd>Extraversion</dd>
 <dt>agr</dt><dd>Agreeableness</dd>
 <dt>comp</dt><dd>Complexity</dd>
 <dt>psc</dt><dd>Public self-consciousness</dd>
 <dt>sm</dt><dd>Self-monitoring</dd>
 <dt>anx</dt><dd>Anxiety</dd>
 <dt>nfb</dt><dd>Need to belong</dd>
 </dl>

motdat: Example data used in Furr & Heuckeroth, on Impression Motivation (IM)

Description

Usage

Arguments

Format

Examples