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Re: Variance Inflation Factor [message #11715 is a reply to message #11704]

Fri, 03 February 2017 03:24

nwegbus
Messages: 15
Registered: December 2015

Member

Thank you for your reply.

According to the UCLA Stata webpage here:

http://www.ats.ucla.edu/stat/stata/faq/svycollin.htm

the VIF and tolerance values are the way to check for multicollinearity (i.e., redundancy) among predictors for survey data.

You did point out that I had too many predictors in my model. I agree. I'm trying to use the VIF and tolerance values to see which ones are best to drop from my model.

The problem I'm having is that, even though I followed the directions on the UCLA webpage step by step, I end up with an output of:

Tolerance=. and VIF=.

Could this have anything to do with the way I weighted the data? i.e.,
generate wgt = d005/1000000
svyset [pweight = wgt],psu(v021) strata(v022) singleunit(centered)

Thank you once again for your help and patience.
Som

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[Message index]

		Variance Inflation Factor By: nwegbus on Mon, 30 January 2017 19:21
		Re: Variance Inflation Factor By: Bridgette-DHS on Tue, 31 January 2017 17:16
		Re: Variance Inflation Factor By: nwegbus on Fri, 03 February 2017 03:24
		Re: Variance Inflation Factor By: Bridgette-DHS on Fri, 03 February 2017 09:27
		Re: Variance Inflation Factor By: nwegbus on Fri, 03 February 2017 10:23
		Re: Variance Inflation Factor By: bakerchowdhury on Thu, 13 April 2017 15:25
		Re: Variance Inflation Factor By: Bridgette-DHS on Fri, 14 April 2017 07:46
		Re: Variance Inflation Factor By: AnvitaDixit on Wed, 28 June 2017 14:03

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