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concomitant variable

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concomitant variable
see concomitant variable.


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In order to accomplish this, future research must avoid specification errors by including potentially relevant variables, employ statistical methods and models that enable statistical control over concomitant variables while focusing on variables of primary interest, and employ approaches that allow assessment of mediated effects.
The ANCOVA was chosen as the data analysis technique because it "is typically viewed as a method of analysis that statistically adjusts for differences on the concomitant variable [covariate] by including it as a continuous predictor variable in the analysis.
 
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