Hi there!

I am trying to do factor analytical interpretation of my binary data through multiple correspondece analysis in SPSS 14. How do I identify what the dimensions are and how can I optain scores or loadings for those dimensions. I need to reduce my data to a few dimensions only (this will be my dependent variable) in order to use them in further regression analysis.
Any kind of reference or advice is highly appreciated :confused:

Hi there!

I am trying to do factor analytical interpretation of my binary data through multiple correspondece analysis in SPSS 14. How do I identify what the dimensions are and how can I optain scores or loadings for those dimensions. I need to reduce my data to a few dimensions only (this will be my dependent variable) in order to use them in further regression analysis.
Any kind of reference or advice is highly appreciated :confused:

Hello,

try to look at this research:
http://pep-net.homeip.net/NEW-PEP/Group/PMMA/pmma-train/files/Multi-Dim-Pov-Doc%201.pdf
http://pep-net.homeip.net/NEW-PEP/Group/PMMA/pmma-train/files/Multi-Dim-PovDoc%202.pdf

Hi, Could anybody tell me how to learn how to apply a multiple correspondence analysis? it is not clear to me what kind of data should be used for this analysis. Is it just categorical? Can I use percentages?

thank you

I have successfully run an MCA, but I'm a bit lost on how to evaluate my model. The program reports the eigenvalues, as well as the inertia, which the help program tells me is the percent of variance explained.

But I can't figure out how these values are calculated, and how their values relate to other programs, which would be helpful, as a lot of people are applying various corrections to inertia values, and I'd like to compare mine to theirs.

Anyone?

Abraxas and arhot,

this might help....

Abraxas and arhot,

this might help....

Thanks.. I think that'll do it, it will just be a very long day of matrix algebra :)