VSS.parallel

ncases

nvariables

Show a scree plot for random data -- see  <code><a href="/link/omega?package=psych&version=1.1.11" rd-options="" 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 href="/link/fa.parallel?package=psych&version=1.1.11" rd-options="" data-mini-rdoc="psych::fa.parallel">fa.parallel</a></code>.

models

A number of routines for personality, psychometrics and experimental psychology.   Functions are primarily for scale construction using factor 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 simulating 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 psychometrics as well as publications in personality research. For more information, see the personality-project.org/r webpage.

VSS.parallel: Compare real and random VSS solutions

Description

Usage

Arguments

Value

References

See Also

Examples