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| Endogenous Interactionterms |
 
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Hello!
I am running a multi-level model with main effects and interactions on the individual level. One of the main effects is not significant and becomes significant as soon as I include the relevant interaction term.
However, I have the following warning:
WARNING
Data set contains cases with missing on x-variables.
These cases were not included in the analysis.
Number of cases with missing on x-variables: 9
To "get rid" of this warning, I have to endogenize the exogenous variables INCLUDING the two interaction terms by putting the variables in these brackets: [ ].
This results in the disappearance of the warning. However, neither the main effect nor the interaction effect is significant anymore.
Am I making a mistake by endogenizing the interaction terms or is it really that the effect is not there? I figured 6 missing values that are not missing anymore should not make such a huge difference for the effect?
Thank you! |
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| Perhaps there are other exogenous variables that you didn't turn endog and therefore they are not correlated - turn all exog into endog and make sure they are correlated as exog should be. |
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