https://github.com/cran/nFactors
Tip revision: 592b098fc786911733da1c1953e58c9d1c2e9517 authored by Gilles Raiche on 10 April 2010, 00:00:00 UTC
version 2.3.3
version 2.3.3
Tip revision: 592b098
dFactors.Rd
\name{dFactors}
\alias{dFactors}
\docType{data}
\title{ Eigenvalues Vectors From the Litterature }
\description{
Classical examples of eigenvalues vectors used to study the number of factors
to retain in the litterature. These examples generally give the number of
subjects use to obtain these eigenvalues.
The number of subjects is used with the parallel analysis.
}
\usage{data(dFactors)}
\format{
A list of examples. For each example, a list is also used to give the eigenvalues
vector and the number of subjects.
}
\details{
Other datasets will be added in future versions of the package.
}
\source{
Lawley and Hand dataset: Bartholomew \emph{et al}. (2002, p. 123, 126)
Bentler dataset: Bentler and Yuan (1998, p. 139-140)
Buja datasets: Buja and Eyuboglu (1992, p. 516, 519) < Number of subjects not specified by Buja and Eyuboglu >
Cliff datasets: Cliff (1970, p. 165)
Raiche dataset: Raiche, Langevin, Riopel and Mauffette (2006)
Raiche dataset: Raiche, Riopel and Blais (2006, p. 9)
Tucker datasets: Tucker \emph{et al}. (1969, p. 442)
}
\references{
Bartholomew, D. J., Steele, F., Moustaki, I. and Galbraith, J. I. (2002).
\emph{The analysis and interpretation of multivariate
data for social scientists}. Boca Raton, FL: Chapman and Hall.
Bentler, P. M. and Yuan, K.-H. (1998). Tests for linear trend in the smallest
eigenvalues of the correlation matrix. \emph{Psychometrika, 63}(2), 131-144.
Buja, A. and Eyuboglu, N. (1992). Remarks on parallel analysis.
\emph{Multivariate Behavioral Research, 27}(4), 509-540.
Cliff, N. (1970). The relation between sample and population characteristic vectors.
\emph{Psychometrika, 35}(2), 163-178.
Hand, D. J., Daly, F., Lunn, A. D., McConway, K. J. and Ostrowski, E. (1994).
\emph{A handbook of small data sets}. Boca Raton, FL: Chapman and Hall.
Jaejon Song, B. A., Walls, T. A. and Raiche, G. (2008). \emph{Numerical solutions
for Cattel's scree test: application to the adolescent smoking consequences
questionnaire (ASCQ)}. Paper presented at the International Annual meeting of the
Psychometric Society, Durham, New Hamphire.
[\url{http://www.er.uqam.ca/nobel/r17165/RECHERCHE/COMMUNICATIONS/}]
Lawley, D. N. and Maxwell, A. E. (1971). \emph{Factor analysis as a statistical
method} (2nd edition). London: Butterworth.
Raiche, G., Langevin, L., Riopel, M. and Mauffette, Y. (2006). Etude exploratoire
de la dimensionnalite et des facteurs expliques par une traduction francaise de
l'Inventaire des approches d'enseignement de Trigwell et Prosser dans trois
universite quebecoises. \emph{Mesure et Evaluation en Education, 29}(2), 41-61.
Raiche, G., Riopel, M. and Blais, J.-G. (2006). \emph{Non graphical solutions
for the Cattell's scree test}. Paper presented at the International Annual
meeting of the Psychometric Society, Montreal.
[\url{http://www.er.uqam.ca/nobel/r17165/RECHERCHE/COMMUNICATIONS/}]
Tucker, L. D., Koopman, R. F. and Linn, R. L. (1969). Evaluation of factor
analytic research procedures by mean of simulated correlation matrices.
\emph{Psychometrika, 34}(4), 421-459.
Zoski, K. and Jurs, S. (1993). Using multiple regression to determine the
number of factors to retain in factor analysis. \emph{Multiple Linear
Regression Viewpoint, 20}(1), 5-9.
}
\author{
Gilles Raiche \cr
Centre sur les Applications des Modeles de Reponses aux Items (CAMRI) \cr
Universite du Quebec a Montreal\cr
\email{raiche.gilles@uqam.ca}, \url{http://www.er.uqam.ca/nobel/r17165/}
}
\examples{
# EXAMPLES FROM DATASET
data(dFactors)
# COMMAND TO VISUALIZE THE CONTENT AND ATTRIBUTES OF THE DATASETS
names(dFactors)
attributes(dFactors)
dFactors$Cliff1$eigenvalues
dFactors$Cliff1$nsubjects
# SCREE PLOT
plotuScree(dFactors$Cliff1$eigenvalues)
}
\keyword{datasets}