I have four vars:
outcome coded as 0 "no" 1 "yes"
race coded as 1 "asian" 2 "latin" 3 "black" 4 "white"
region_res coded as 1 "South" 2 "West" 3 "Midwest" 4 "Northeast"
rural coded as 0 "no" 1 "yes"
The dataset is coplex survey data; thus, I svyset and ran logistic regressions with region-race interactions as follows.
Code:
svy: logit outcome ib3.race##ib3.region_res i.rural, or
However, I then thought that residing in a specific region and having a specific racial background are discrete characteristics for each observation that I could not get the whole point of including the main effects of region and race in the regression analysis. So, I excluded the main effects got the following output.
Code:
svy: logit outcome ib3.race#ib3.region_res i.rural, or
MY QUESTION:
Am I right with my second point, 'partial factorial'? I'm just wondering if this may affect the analysis.
Thank you!
I use Stata15.1/SE version
0 Response to Main effects and/versus Interactions
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