Mah1510
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Joined: Thu Nov 30, 2017 4:25 pm
Occupation: Student

Are PCA eigenvalues equivalent to semipartial correlation coefficients in linear regression?

Postby Mah1510 » Thu Nov 30, 2017 4:29 pm

Hi!

I am a PhD student in my third month with a background in cognitive neuroscience. I loved statistics and thus developed a rather deep understanding of regression analyses.

Now, I started to apply computational models/analyses to the data I am currently looking at and the next step involves using PCA. My supervisor is talking a lot about how interesting it would be to see the component's eigenvalues.

While trying to get my head around those, I found that they sound quite similar to what semipartial correlation coefficients in (linear) regression analyses express. Is that right? Can they even be viewed as being equivalent? Or am I misunderstanding something fundamental?

I hope this is the right place to ask questions like this, I was not able to find anything that appeared to be more suitable.

Thank you very much for any help!

MadelineB
Moderator
Posts: 469
Joined: Fri Jun 20, 2014 4:42 pm
Occupation: Biostatistician/Data Scientist

Re: Are PCA eigenvalues equivalent to semipartial correlation coefficients in linear regression?

Postby MadelineB » Fri Dec 01, 2017 6:16 pm

Hello,
Science Buddies is for students in grades K-12 who want help with their science projects.

So, no, this is not the appropriate forum for your question. I would suggest that you look for course (on line or on the ground) on PCA, so that you can develop a better understanding of that topic. When you have specific questions, you might try stats.stackexchange.com.

Thank you.


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