nFactors-package {nFactors}R Documentation

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)
    -
    λ >= bar{λ} (Kaiser, CFA and related rule)
    -
    Cattell-Nelson-Gorsuch (CNG)
    -
    Zoski and Jurs Multiple regression (β, 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

Package: nFactors
Type: Package
Version: 2.3.1
Date: 2009-09-01
Depends: R (>= 2.0.0), MASS, psych, boot
License: GPL

Author(s)

Gilles Raiche
Centre sur les Applications des Modeles de Reponses aux Items (CAMRI)
Universite du Quebec a Montreal
raiche.gilles@uqam.ca, http://www.er.uqam.ca/nobel/r17165/

David Magis
Research Group of Quantitative Psychology and Individual Differences
Katholieke Universiteit Leuven
David.Magis@psy.kuleuven.be, http://ppw.kuleuven.be/okp/home/

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.


[Package nFactors version 2.3.1 Index]