Analysis of covariance involves:
A) analyzing more than one dependent variable.
B) analyzing the residuals in an interaction.
C) determining all relevant variables that are correlated with the dependent variable prior to collecting the data.
D) statistically controlling for a third variable that is associated with the dependent measure.

Question

Quizplus · Accepted Answer

Analysis of covariance involves statistically controlling for a third variable that is associated with the dependent measure. It allows researchers to compare groups on a dependent variable while controlling for the effects of another variable, called the covariate. This improves the accuracy and precision of the analysis by removing the influence of an extraneous variable on the dependent variable.

Analysis of Covariance Involves