Let’s back up to where the problem begins, which seems to be at the SEM stage because you are reporting “strange correlations” between factors. So, what’s strange
about the correlations? And, just so that we all are on the same page, please clarify your use of ‘correlations’ in the context of an SEM. Affirmatively verify that the following sequence is true. Analyzing raw data not a covariance or correlation matrix.
One loading fixed at 1.00 for each factor rather than factor variances fixed at 1.00. Fit of the model is acceptable under current standards. The strange values are standardized values and not unstandardized values.
Gene Maguin
From: SPSSX(r) Discussion [mailto:[hidden email]]
On Behalf Of SabatoPsy
Sent: Tuesday, December 03, 2013 3:56 PM
To: [hidden email]
Subject: Re: SPSS factor scores
Thank you for all of your posts. I looked up online how the factor scores are computed in SPSS in the IBM labyrinth. I got a bunch of matrix algebra and calculus notation that I am not smart enough to follow. I did however do an experiment
on my own as was also suggested. I found that there are small differences between factor scores saved via the PCA method of extraction compared to the PAF and ML extraction methods; however, there were negligible differences between the PAF and ML methods.
I tested this by correlating different saved factor score variables from the exact same factor structure but with different extraction methods.
To address the question of why I am creating the factor(s) may go outside the scope of this listserve, but I will gladly take any advice/knowledge. I am running some SEM models in AMOS and am getting strange correlations between my factors.
I wanted a way to test whether indeed these correlations between factors are accurate. I thought that by correlating the saved factor scores in SPSS using the ML extraction method, I should get the same correlations I got in AMOS. I am creating multiple single
factors from a multiple set of 4 manifest indicators to create 5 total factors. To my knowledge, an EFA using ML and a CFA create essentially (minus negligible estimation differences) the same factor scores (when you are creating a single factor using all
indicators). Therefore correlations between the SPSS factor scores I created and correlations between the latent factors I created in AMOS should be essentially equivalent. However, I am getting substantially different correlations. Does anybody know what
is going on... or what I am doing wrong... or why my belief that the correlations should be the same is wrong??? I would greatly appreciate any enlightenment.
David Disabato
George Mason University
On Tue, Dec 3, 2013 at 12:26 PM, Art Kendall [via SPSSX Discussion] <[hidden email]> wrote:
What is the purpose of your using FACTOR? Data reduction? Creating scales? etc.
What are you going to use the factor scores for?
Art Kendall
Social Research Consultants
On 12/3/2013 11:42 AM, SabatoPsy [via SPSSX Discussion] wrote:
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
If you reply to this email, your message will be added to the discussion below:
http://spssx-discussion.1045642.n5.nabble.com/SPSS-factor-scores-tp5723392.html
To start a new topic under SPSSX Discussion, email [hidden email]
To unsubscribe from SPSSX Discussion, click here.
NAML
Art Kendall
Social Research Consultants
If you reply to this email, your message will be added to the discussion below:
http://spssx-discussion.1045642.n5.nabble.com/SPSS-factor-scores-tp5723392p5723399.html
To unsubscribe from SPSS factor scores,
click here.
NAML
--
David J. Disabato
Clinical Psychology Doctoral Student
George Mason University
View this message in context:
Re: SPSS factor scores
Sent from the SPSSX Discussion mailing list archive at Nabble.com.
| Free forum by Nabble | Edit this page |