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- Jan 15, 2005
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So I recently received back a review on an article and one of the reviewers asked me to perform an ANCOVA and I don't believe the rationale calls for it. Here is the situation:
I am testing moderated mediation models, and I have 1 continuous predictor, 1 continuous mediator, 1 dichotomous moderator, and 1 continuous DV.
I ran correlations between demographic variables and the DV and found no significant relationships. Thus, I did not include any covariates in the mediational models, b/c my understanding is that if there is no evidence (via correlations) that these variables covary with one another then you would have no need to include them as covariates.
The other issue is that this reviewer suggested that conducting an ANCOVA is the only way to test for covariates...my understanding is that ANCOVA doesn't test for covariates, per se (as in testing if a variable is a covariate or not) but rather statistically controls for variables when you're interested in group differences on some DV.
So, am I right to object to this, or am I way off base?
I am testing moderated mediation models, and I have 1 continuous predictor, 1 continuous mediator, 1 dichotomous moderator, and 1 continuous DV.
I ran correlations between demographic variables and the DV and found no significant relationships. Thus, I did not include any covariates in the mediational models, b/c my understanding is that if there is no evidence (via correlations) that these variables covary with one another then you would have no need to include them as covariates.
The other issue is that this reviewer suggested that conducting an ANCOVA is the only way to test for covariates...my understanding is that ANCOVA doesn't test for covariates, per se (as in testing if a variable is a covariate or not) but rather statistically controls for variables when you're interested in group differences on some DV.
So, am I right to object to this, or am I way off base?