Re: Big odds ration in binary regression output

Posted by Rich Ulrich on Aug 23, 2017; 5:25pm
URL: http://spssx-discussion.165.s1.nabble.com/Big-odds-ratio-in-binary-regression-output-tp5734731p5734748.html

Let's see.  Chi-squared equals phi-squared times N.  So your -0.535 for

phi is worth about 90 as a chi-squared, for N= 317.  That seems pretty big to me. 

Yeah, your 2x2 table should be extreme.  Look at it.

I just about never bother to look at VIF and tolerance because I try to start out my analyses

by knowing the size of the univariate relations between IVs and Dependent, and also among

IVs.  Avoid redundancy, and check for basic validity among expected relationships.

And, yes, an OR of 19 or 23 seems "too big" for this sort of variable.  What I would look into

is the possibility of artifact:  Is the DV accidentally a component of the predictor (which was

a forced dichotomy of a composite score)?  It is time to look at the components of the composite

against the IV, separately, to see what is responsible for that large effect.

--

Rich Ulrich

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From: SPSSX(r) Discussion <[hidden email]> on behalf of Sidra <[hidden email]>
Sent: Wednesday, August 23, 2017 11:28:57 AM
To: [hidden email]
Subject: Re: Big odds ration in binary regression output

 

Eugene , surprisingly the phi correlation is not very huge for "interpersonal
communication and care" and IV. It is -.525 which seems a moderate value to
me. I couldn't get the second part of your comment. Could you make it more
clear for me.



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