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nFactors (version 2.3.3)

nFactors-package: Parallel Analysis and Non Graphical Solutions to the Cattell Scree Test

Description

Indices, heuristics and strategies to help determine the number of factors/components to retain:

  1. - Acceleration factor (noc with or without Parallel Analysis)

  2. - Optimal Coordinates (noc with or without Parallel Analysis)

  3. - Parallel analysis (components, factors and bootstrap)

  4. - \(\lambda >= \bar{\lambda}\) (Kaiser, CFA and related rule)

  5. - Cattell-Nelson-Gorsuch (CNG)

  6. - Zoski and Jurs Multiple regression (\(\beta\), t and p)

  7. - Zoski and Jurs standard error of the regression coefficient (sescree, \(S_{Y \bullet X}\))

  8. - Nelson \(R^2\)

  9. - Bartlett \(\chi^2\)

  10. - Anderson \(\chi^2\)

  11. - Lawley \(\chi^2\) and

  12. - Bentler-Yuan \(\chi^2\).

Arguments

Details

Package: nFactors
Type: Package
Version: 2.3.2
Date: 2010-04-10
Depends: R (>= 2.9.2), 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 component 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.