sim.VSS

VSS.simulate

VSS.sim

Simulation is one of most useful techniques in statistics and psychometrics. Here we simulate a correlation matrix with a simple structure composed of a specified number of factors. Each item is assumed to have complexity one. See <code>circ.sim</code> and <code>item.sim</code> for alternative simulations.

 multivariate

 models

 datagen 

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

sim.VSS function

<dl> <dt>ncases</dt>
<dd>number of simulated subjects</dd> <dt>nvariables</dt>
<dd>Number of variables</dd> <dt>nfactors</dt>
<dd>Number of factors to generate</dd> <dt>meanloading</dt>
<dd>with a mean loading</dd> <dt>dichot</dt>
<dd>dichot=FALSE give continuous variables, dichot=TRUE gives dichotomous variables</dd> <dt>cut</dt>
<dd>if dichotomous = TRUE, then items with values &gt; cut are assigned 1, otherwise 0.</dd></dl>

Arguments

Author

create VSS like data — sim.VSS

<dl>

 <dt>ncases</dt>
<dd>number of simulated subjects</dd>

 <dt>nvariables</dt>
<dd>Number of variables</dd>

 <dt>nfactors</dt>
<dd>Number of factors to generate</dd>

 <dt>meanloading</dt>
<dd>with a mean loading</dd>

 <dt>dichot</dt>
<dd>dichot=FALSE give continuous variables, dichot=TRUE gives dichotomous variables</dd>

 <dt>cut</dt>
<dd>if dichotomous = TRUE, then items with values &gt; cut are assigned 1, otherwise 0.</dd>

</dl>

sim.VSS: create VSS like data

Description

Usage

Value

Arguments

Author

See Also

Examples