kaiser

Kaiser (1958) suggested normalizing factor loadings before rotating them, and then denormalizing them after rotation. The GPArotation package does not (by default) normalize, nor does the <code>fa</code> function. Then, to make it more confusing, varimax in stats does,Varimax in GPArotation does not. <code>kaiser</code> will take the output of a non-normalized solution and report the normalized solution.

 multivariate

 models

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

kaiser function

<dl> <dt>f</dt>
<dd>A factor analysis output from <code>fa</code> or a factor loading matrix.</dd> <dt>rotate</dt>
<dd>Any of the standard rotations avaialable in the GPArotation package.</dd> <dt>m</dt>
<dd>a parameter to pass to <code>Promax</code></dd> <dt>pro.m</dt>
<dd>A redundant parameter, which is used to replace m in calls to Promax</dd></dl>

Arguments

Author

Apply the Kaiser normalization when rotating factors — kaiser

<dl>

 <dt>f</dt>
<dd>A factor analysis output from <code>fa</code> or a factor loading matrix.</dd>

 <dt>rotate</dt>
<dd>Any of the standard rotations avaialable in the GPArotation package.</dd>

 <dt>m</dt>
<dd>a parameter to pass to <code>Promax</code></dd>

 <dt>pro.m</dt>
<dd>A redundant parameter, which is used to replace m in calls to Promax</dd>

</dl>

kaiser: Apply the Kaiser normalization when rotating factors

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples