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iressa131
Calcite | Level 5

Hello,

 

I want to know if variable A influences the effect of variable B on variable C.

 

Would I use a saturated model or homogenous association (or something else entirely)? Clarification on the conceptual difference would be helpful! From what I understand, homogenous association is saying that B and C have a relationship and that relationship is identical at each level of A while the saturated model is saying that B and C have a relationship but that relationship does not have to be identical at each level of A? Thanks in advance for any help!!

2 REPLIES 2
pau13rown
Lapis Lazuli | Level 10

yes, "model y= a|b|c" (see here https://blogs.sas.com/content/iml/2016/03/07/collection-effects-pairwise-interactions.html)

 

bear in mind, there's little statistical power for interaction effects; there'd have to be a specific interest in the Q. As you said, an interaction is an inconsistency of the strength of the effect across the levels of the other factor

StatDave
SAS Super FREQ

"I want to know if variable A influences the effect of variable B on variable C."

 

As you've stated it, this suggests that C is the response and A and B are predictors. If so, then you simply want to test if the A*B interaction is significant in this model:

 

model c = a b a*b;

 

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