Re: SPSS factor scores
Posted by
Jon K Peck on
Dec 03, 2013; 5:25pm
URL: http://spssx-discussion.165.s1.nabble.com/SPSS-factor-scores-tp5723392p5723400.html
Not to mention the same information from
within Statistics via
Help > Algorithms > Factor Algorithms
Jon Peck (no "h") aka Kim
Senior Software Engineer, IBM
[hidden email]
phone: 720-342-5621
From:
Alex Reutter/Burlington/IBM@IBMUS
To:
[hidden email],
Date:
12/03/2013 10:09 AM
Subject:
Re: [SPSSX-L]
SPSS factor scores
Sent by:
"SPSSX(r)
Discussion" <[hidden email]>
Specifically, the top-level topic for
the Statistics v22 FACTOR command algorithms is at: http://pic.dhe.ibm.com/infocenter/spssstat/v22r0m0/topic/com.ibm.spss.statistics.algorithms/alg_factor.htm
From: David
Marso <[hidden email]>
To: [hidden email],
Date: 12/03/2013
11:46 AM
Subject: Re:
SPSS factor scores
Sent by: "SPSSX(r)
Discussion" <[hidden email]>
If I said yes why should you believe me?
Try it for yourself.
The specifics are documented in the algorithms available somewhere in the
IBM labyrinth.
<
quote author="SabatoPsy">
Hi Listserve,
I am wondering how the SPSS factor scores in the "Factor" command
are
calculated. More specifically, does the method of extraction change the
calculated factor scores? I want to compare the factor scores created by
a
PCA compared to an EFA (with ML estimation). Is this possible in SPSS?
I
know there are three ways of calculating the factor scores (Regression,
Bartlett, Anderson-Rubin). Let us assume I tell SPSS to use the same way:
Regression. If I tell SPSS to create "Regression" factor scores
with a
principle component method of extraction, will they be different than the
"Regression" factor scores with a maximum likelihood method of
extraction?
Thank you,
David Disabato
George Mason University
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