In Figure 16.1, suppose that you initially find that path c (the total effect of X1 on Y) is not statistically significant and too small to be of any practical or clinical importance. Does it follow that there cannot possibly be any indirect effects of X1 on Y that are statistically significant? Why or why not?
Answer to relevant QuestionsGive an example of a three variable study for which a mediation analysis would make sense. Be sure to make it clear which variable is the proposed initial predictor, mediator, and outcome. Why is ANCOVA often used in situations that involve nonequivalent control groups? Show how the canonical rc for each discriminant function can be calculated from the eigenvalue () for each function, and verbally interpret these canonical correlations. How is a squared canonical correlation related to ...Suppose that your first discriminant function has an eigenvalue of 1 = .5. What is the value of rc, the canonical correlation, for this function? What is the value of Roy’s largest root for this function? What is meant by attenuation of correlation due to unreliability?
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