I am familiarizing myself with CATPCA. Is there a
way to have CATPCA produce eigenvalues so that I can can compare
them to those from a PCA factor analysis of the same data.
I have 14 dichotomous variables coded 1 for no and 2 for yes. (CATPCA does not like 0,1.) I have 51,000 cases. So far I have this syntax what further specifications do I have to make? catpca variables = vr46 to vr59 /analysis = vr46 to vr59 (level=nume) /dimension = 3 /plot = loading ndim(1,3) /PRINT = none. catpca variables = vr46 to vr59 /analysis = vr46 to vr59 (level=nume) /dimension = 3 /plot = loading ndim(2,3) /PRINT = none. 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
Art Kendall
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In reply to this post by Art Kendall
The eigenvalues are in the output: see the Model Summary Table (always displayed, even if /print none)
under the heading "Variance Accounted For", subheading "Total (Eigenvalues)".
Regards,
Anita van der Kooij,
Data Theory Scaling System Group,
Leiden University. From: SPSSX(r) Discussion on behalf of Art Kendall Sent: Thu 03-Feb-11 22:41 To: [hidden email] Subject: Is there a way to get eigenvalues from CATPCA? I am familiarizing myself with CATPCA. Is there a way to have CATPCA produce eigenvalues so that I can can compare them to those from a PCA factor analysis of the same data.
I have 14 dichotomous variables coded 1 for no and 2 for yes. (CATPCA does not like 0,1.) I have 51,000 cases. So far I have this syntax what further specifications do I have to make? catpca variables = vr46 to vr59 /analysis = vr46 to vr59 (level=nume) /dimension = 3 /plot = loading ndim(1,3) /PRINT = none. catpca variables = vr46 to vr59 /analysis = vr46 to vr59 (level=nume) /dimension = 3 /plot = loading ndim(2,3) /PRINT = none. 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 ********************************************************************** This email and any files transmitted with it are confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this email in error please notify the system manager. **********************************************************************
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In reply to this post by Dale Glaser
How about adding lines from equations, or whatever that option is called (in the Chart Editor)?
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Bruce Weaver bweaver@lakeheadu.ca http://sites.google.com/a/lakeheadu.ca/bweaver/ "When all else fails, RTFM." PLEASE NOTE THE FOLLOWING: 1. My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above. 2. The SPSSX Discussion forum on Nabble is no longer linked to the SPSSX-L listserv administered by UGA (https://listserv.uga.edu/). |
In reply to this post by Dale Glaser
Dale,
I'm confused by your post. First you state that you fit a zero-inflated poisson (ZIP) model in MPLUS, presumably because you have count data with excess zeros, but you then reportedly fit a Poisson model on the same data in SPSS to obtain predicted values. Which model yields a superior fit? (You could construct a likelihood ratio test to compare overall fit of each model.) If the ZIP model is superior, then that is the model from which you should obtain predicted values.
Ryan
On Thu, Feb 3, 2011 at 7:26 PM, Dale Glaser <[hidden email]> wrote:
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