nFactors-package: Parallel Analysis and Non Graphical Solutions to the Cattell Scree Test
Description
Indices, heuristics and strategies to help to determine the number of factors/components to retain:
- -
{ Acceleration factor (noc with or without Parallel Analysis) }
- -
{ Optimal Coordinates (noc with or without Parallel Analysis) }
- -
{ Parallel analysis (components, factors and bootstrap) }
- -
{ $\lambda >= \bar{\lambda}$ (Kaiser, CFA and related rule) }
- -
{ Cattell-Nelson-Gorsuch (CNG) }
- -
{ Zoski and Jurs Multiple regression ($\beta$, t and p) }
- -
{ Zoski and Jurs standard error of the regression coefficient (sescree, $S_{Y \bullet X}$) }
- -
{ Nelson $R^2$ }
- -
{ Bartlett $\chi^2$ }
- -
{ Anderson $\chi^2$ }
- -
{ Lawley $\chi^2$ and }
- -
{ Bentler-Yuan $\chi^2$. }Details
ll{
Package: nFactors
Type: Package
Version: 2.3.0
Date: 2009-09-01
Depends: R (>= 2.0.0), MASS, psych, boot
License: GPL
}References
Raiche, G., Riopel, M. and Blais, J.-G. (2006). Non graphical solutions
for the Cattell's scree test. Paper presented at the International Annual
meeting of the Psychometric Society, Montreal.
[http://www.er.uqam.ca/nobel/r17165/RECHERCHE/COMMUNICATIONS/]See Also
Other packages are also very useful for principal components and factor analysis. The R psychometric view is instructive at this point.
See http://cran.stat.sfu.ca/web/views/Psychometrics.html for further details.