Is this what you need?
* Get an example data.
GET FILE='C:\Program Files\SPSS\GSS93 subset.sav'.
* Save the output matrix using OMS as a sav file.
OMS /SELECT TABLES
/IF COMMANDS = ["Factor Analysis"]
SUBTYPES = ["Reproduced Correlations"]
/DESTINATION FORMAT = SAV
OUTFILE = "C:\Program Files\SPSS\pomoc.sav".
FACTOR /VARIABLES bigband to rap /ANALYSIS bigband to rap
/PRINT REPR EXTRACTION /rot=norot.
* Purge the file.
GET FILE='C:\Program Files\SPSS\pomoc.sav' /drop Command_ Subtype_
sel if var1 = "Residual".
save outf ='C:\Program Files\SPSS\pomoc.sav' /drop var1.
* Transform all variables into one and plot its distribution.
GET FILE='C:\Program Files\SPSS\pomoc.sav'.
VARSTOCASES /ID = id /MAKE resid FROM all /NULL = DROP.
var lab resid "FA Residuals".
/PLOT BOXPLOT STEMLEAF.
From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of
Sent: Monday, August 22, 2005 9:55 PM
Subject: Residual correlation graphs
I am going to try again with my question, since there were no replies
last time. I need to run factor analyses from correlation matrices
(quite a few times) and make stem-and-leaf plots of the residual
I think this might be approached either computationally (e.g. by using
the factor coefficients to score the original data and compute
correlations and subtract them etc.) or by reading in the residual
matrices which appear in the output.
Either approach involves a formidable amount of computing for me; my
knowledge of syntax is just the statistical part mostly. If anyone
could help me understand how to get started on either of these methods
it would be great. Or maybe I've got it all wrong; that would also be
good to know.