small.msq

A small subset of 200 cases and 14 variables from the msqR data set in the psychTools package. Saved here to allow vignettes to work without using psychTools

datasets

A general purpose toolbox developed originally for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Validation and cross validation of scales developed using basic machine learning algorithms are provided, as are functions for simulating and testing particular item and test structures. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, including mediation models, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometric theory as well as publications in personality research. For more information, see the <https://personality-project.org/r/> web page.

William Revelle

psych

Procedures for Psychological, Psychometric, and Personality
Research

small.msq function

A data frame with 200 observations on the following 14 variables.<dl>
 <dt><code>active</code></dt>
<dd>a numeric vector</dd> <dt><code>alert</code></dt>
<dd>a numeric vector</dd> <dt><code>aroused</code></dt>
<dd>a numeric vector</dd> <dt><code>sleepy</code></dt>
<dd>a numeric vector</dd> <dt><code>tired</code></dt>
<dd>a numeric vector</dd> <dt><code>drowsy</code></dt>
<dd>a numeric vector</dd> <dt><code>anxious</code></dt>
<dd>a numeric vector</dd> <dt><code>jittery</code></dt>
<dd>a numeric vector</dd> <dt><code>nervous</code></dt>
<dd>a numeric vector</dd> <dt><code>calm</code></dt>
<dd>a numeric vector</dd> <dt><code>relaxed</code></dt>
<dd>a numeric vector</dd> <dt><code>at.ease</code></dt>
<dd>a numeric vector</dd> <dt><code>gender</code></dt>
<dd>a numeric vector</dd> <dt><code>drug</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

A small example data set taken from a larger data set — small.msq

A data frame with 200 observations on the following 14 variables.<dl>
 <dt><code>active</code></dt>
<dd>a numeric vector</dd>

 <dt><code>alert</code></dt>
<dd>a numeric vector</dd>

 <dt><code>aroused</code></dt>
<dd>a numeric vector</dd>

 <dt><code>sleepy</code></dt>
<dd>a numeric vector</dd>

 <dt><code>tired</code></dt>
<dd>a numeric vector</dd>

 <dt><code>drowsy</code></dt>
<dd>a numeric vector</dd>

 <dt><code>anxious</code></dt>
<dd>a numeric vector</dd>

 <dt><code>jittery</code></dt>
<dd>a numeric vector</dd>

 <dt><code>nervous</code></dt>
<dd>a numeric vector</dd>

 <dt><code>calm</code></dt>
<dd>a numeric vector</dd>

 <dt><code>relaxed</code></dt>
<dd>a numeric vector</dd>

 <dt><code>at.ease</code></dt>
<dd>a numeric vector</dd>

 <dt><code>gender</code></dt>
<dd>a numeric vector</dd>

 <dt><code>drug</code></dt>
<dd>a numeric vector</dd>

 
</dl>

small.msq: A small example data set taken from a larger data set

Description

Usage

Arguments

Format

Details

References

Examples