Posted by
Swank, Paul R on
Aug 07, 2012; 4:25pm
URL: http://spssx-discussion.165.s1.nabble.com/Multicollinearity-in-SPSS-tp1070043p5714611.html
To me the result says that the positive effect of divergence is reduced in the presence of higher relevance and, likewise, the effect of relevance is reduced in the presence of higher divergence. It is sort of opposite to the synergistic effect.
Paul R. Swank, Ph.D.
Professor, Department of Pediatrics
Medical School
Adjunct Professor, Health Promotions and Behavioral Sciences
School of Public Health
University of Texas Health Science Center at Houston
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of Almost Done
Sent: Monday, August 06, 2012 4:24 PM
To:
[hidden email]
Subject: Re: Multicollinearity in SPSS
Hey, guys! I might have a problem that might seem easy to you but it isn't for me. I'm doing a research about creative advertising and have to check for example whether the divergence (rated on a seven point Lickert scale) and relevance (rated the same) and the interaction between the two divergence*relevance has an effect on the attention that the respondents also rated on a 7 point lickert schale. So when I run a regression this is what I get:
B t
sig
Constant ,529 ,649 ,518
Divergence ,666 4,215 ,000
Relevance ,573 2,275 ,024
Divergence*Relevance -,091 -2,012 ,046
This seemed weird to me because divergence*relevance has a negative influence on the dependent variable attention. How can it be?
So I removed the Divergence*Relevance interaction, and this is what I got:
B t
sig.
Constant 1,892 4,113 ,000
Divergence ,398 4,622 ,000
Relevance ,090 1,167 ,245
So the B and significance changed drastically. I've tested for multicoliniarity using the VIF. The combination where the Divergence was the dependent variable (and independent : Divergence and Divergence*Relevance) was the one where VIF was greater than 5. All the other combinations were fine (VIF was either 1 or slighter greater than 1).
So my question is - what does that mean and how do I proceed? What do I have to do? And how should I explain that?
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