TURF on Factors from PCA Results

[Colin Valdiserri]

Hello Everyone,

 

I have run a PCA on the resulting HBU’s from a Max/Diff survey and was wondering if there was a way to run a TURF on those actual factors. All of the TURF’s I have run in the past have been on the individual items from the Max/Diff using Sawtooth’s Max/Diff Analyzer software.

 

I’m not sure if it’s even possible to do this in SPSS using the resulting factors from the PCA, but I was wondering if anyone had any ideas or may have attempted this before.

 

Thank you in advance,

 

Colin

 

 

Colin M. Valdiserri

Informed Decisions Group, Inc.

8854 Jordan Court | North Ridgeville, Ohio | 44039
P: 440.935.5414
F: 440.353.0621

cvaldiserri@...
www.idg-consulting.com

 

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[Jon K Peck]

There is a TURF extension command for Statistics (included in the Python Essentials).  You might want to take a look at it to see if it suits your needs. See the SPSS Community website (www.ibm.com/developerworks/spssdevcentral) in the Downloads for SPSS Statistics section.


Jon Peck (no "h") aka Kim
Senior Software Engineer, IBM
[hidden email]
phone: [phone]




From:        Colin Valdiserri <[hidden email]>
To:        [hidden email],
Date:        06/06/2013 12:24 PM
Subject:        [SPSSX-L] TURF on Factors from PCA Results
Sent by:        "SPSSX(r) Discussion" <[hidden email]>

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Hello Everyone,
 
I have run a PCA on the resulting HBU’s from a Max/Diff survey and was wondering if there was a way to run a TURF on those actual factors. All of the TURF’s I have run in the past have been on the individual items from the Max/Diff using Sawtooth’s Max/Diff Analyzer software.
 
I’m not sure if it’s even possible to do this in SPSS using the resulting factors from the PCA, but I was wondering if anyone had any ideas or may have attempted this before.
 
Thank you in advance,
 
Colin
 
 
Colin M. Valdiserri
Informed Decisions Group, Inc.
8854 Jordan Court | North Ridgeville, Ohio | 44039
P: 440.935.5414
F: 440.353.0621
cvaldiserri@...
www.idg-consulting.com
 
Follow us on LinkedIn
The information and attachments contained in this e-mail message is intended for the use of the recipient(s) named above and is privileged and confidential. If you are not the intended recipient, you are formally notified that you have received this message in error and that any review, dissemination, distribution, or copying of the message is strictly prohibited. If you have received this communication in error, please notify us immediately by e-mail and delete the original message.