1. Explain why and how the various multivariate methods can be viewed as a family of techniques. (not less than 300 words)

2. Why is knowledge of measurement scales important to an understanding of multivariate data analysis? (not less than 300 words)

3. What are the differences between statistical and practical significance? Is one a prerequisite for the other? (not less than 300 words)

4. What are the implications of low statistical power? How can the power be improved if it is deemed too low? (not less than 300 words)

5. Detail the model-building approach to multivariate analysis, focusing on the major issues at each step. (not less than 400 words)?