VSS.parallel

ncases

nvariables

Show a scree plot for random data -- see <code><a rd-options="" href="/link/omega?package=psych&version=2.1.6" data-mini-rdoc="psych::omega">omega</a></code>

scree

rotate

Another useful test for the number of factors is when the eigen values of a random matrix are greater than the eigen values of a a real matrix. Here we show VSS solutions to random data. A better test is probably <code><a rd-options="" href="/link/fa.parallel?package=psych&version=2.1.6" data-mini-rdoc="psych::fa.parallel">fa.parallel</a></code>.

 models

A general purpose toolbox 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. Functions for simulating and testing particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, 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

VSS.parallel function

Show a scree plot for random data -- see <code><a rd-options='' href='omega'>omega</a></code>

Another useful test for the number of factors is when the eigen values of a random matrix are greater than the eigen values of a a real matrix. Here we show VSS solutions to random data. A better test is probably <code><a rd-options='' href='fa.parallel'>fa.parallel</a></code>.

VSS.parallel: Compare real and random VSS solutions

Description

Usage

Arguments

Value

References

See Also

Examples