How can I get the Eigenvalues of matrix input to common factor analysis?

[Art Kendall]

SPSS outputs the eigenvalues of the initial correlation matrix (PC) no matter what kind of factor analysis one does.

I am running a parallel factor analysis which gives the eigenvalues for the common factor model (matrix with communalities on the diagonal).

Does anyone know a quick way to get the eigenvalues of the matrix for PAF using syntax?

If not has anyone put together a MATRIX procedure to get those eigenvalues?


Art Kendall
Social Research Consultants
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[vlad simion]

Hi Art,

Have a look at this syntax, hope it helps :)

corr  v1 to v20 / matrix out ('c:\temp\correl') / missing = listwise.

matrix.

mget /type= corr /file='c:\temp\correl' .

compute smc = 1 - (1 &/ diag(inv(cr)) ).

call setdiag(cr,smc).

compute evals = eval(cr).

print { t(1:nrow(cr)) , evals }

/title="Raw Data Eigenvalues"

/clabels="Root" "Eigen."  /format "f12.6".

end matrix.

Have a nice weekend,

Vlad

On Fri, Feb 4, 2011 at 6:08 PM, Art Kendall <[hidden email]> wrote:

SPSS outputs the eigenvalues of the initial correlation matrix (PC) no matter what kind of factor analysis one does.

I am running a parallel factor analysis which gives the eigenvalues for the common factor model (matrix with communalities on the diagonal).

Does anyone know a quick way to get the eigenvalues of the matrix for PAF using syntax?

If not has anyone put together a MATRIX procedure to get those eigenvalues?


Art Kendall
Social Research Consultants

===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD