Analysis of Covariance The function of Experimental design is to explain the effect of a IV or DV while controlling for the confounding effect of extraneous variables.
Analysis of Covariance When extraneous variable are not controlled the results of the measurement can not be attributed to solely the experiment treatment.
Analysis of Covariance ANOCOVA - combination of ANOVA and linear regression present a covariant as another variable that the groups may differ on.
Analysis of Covariance 1. Effect of two different teachings situations on clinical performances in clinical 2. Previous GPA may be a factor if not controlled 3. Control for GPA to find true effects of teaching strategies.
Analysis of Covariance