Exam 18: Multivairate Data Analysis: Discriminant Analysis, Factor Analysis, Cluster Analysis, and Multidimensional Scaling

A discriminant analysis has been performed for two groups of marketing managers. The mean discriminant score for group one is 28.4 while the mean discriminant score for group two is 20.8. There are 20 managers in group one and 24 managers in group two. What is the cutting score useful for classifying individuals into the two groups?

Which of the following quantities are used to assess the relative importance of variables in discriminating between groups?

The following questions focus on Multidimensional Scaling: -For which of the following applications would multidimensional scaling not be appropriate?

The following questions focus on Multidimensional Scaling: -Which of the following is FALSE?

In a five group discriminant problem, where the groups are equal in size, the mean discriminant score for each group is $\overline{Y}$ ₁ = 13.01, $\overline{Y}$ ₂ = 24.65, $\overline{Y}$ ₃ = 3.02, $\overline{Y}$ ₄ = 8.03, and $\overline{Y}$ ₅ = 42.06. -How many different "cutting scores" must be calculated?

To better determine the appropriate number of clusters, the analyst should

The following questions focus on Multidimensional Scaling: -Which of the following about multidimensional scaling is TRUE?

-The hit rate is approximately

-As shown above, the total variance can be explained by 8 factors. What is the least number of variables on which this principal components factor analysis can be based?

The following questions focus on Multidimensional Scaling: -The dimensions that appear in the perceptual map generated by multidimensional scaling procedures are determined by

The following questions focus on Multidimensional Scaling: -Which of the following is FALSE?

-What proportion of the variability in the data is accounted for by the first factor?

Use the following perceptual map to answer the next 4 questions. Consumers browsing in your local bookstores were asked to make judgments of similarity among various genre of books. The consumers also made ratings of attributes of the types of books, so that vectors representing those attributes might be plotted in the space, aiding interpretation of the dimensions. The consumers also indicated their preferences among these categories. The results are plotted below. -Which categories are perceived to be the most similar? (circle all that apply)

In factor analysis, the factor loadings represent which of the following?

The following questions focus on Multidimensional Scaling: -Non-metric methods of multidimensional scaling generate

In a five group discriminant problem, where the groups are equal in size, the mean discriminant score for each group is $\overline{Y}$ ₁ = 13.01, $\overline{Y}$ ₂ = 24.65, $\overline{Y}$ ₃ = 3.02, $\overline{Y}$ ₄ = 8.03, and $\overline{Y}$ ₅ = 42.06. -What is the cutting score between Y₁ and Y₂?

If a variable does not have a significant loading on any factor,

To secure communality estimates for the classical factor model

A researcher is using cluster analysis in the process of selecting cities to use for test markets for a new product. He has identified two cities that he feels represent the two procedures. A total of ten cities will be used. Which method of cluster analysis should the researcher use?

The following questions focus on Multidimensional Scaling: -Which of the following might NOT be considered a key decision in a multidimensional scaling analysis?