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Mixed Quiz
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1

Which of the following is NOT true about interdependence methods?
A)There is no distinction made between dependent and independent variables
B)Discriminant analysis is an example of an interdependence method
C)Cluster analysis is an example of an interdependence method
D)Multidimensional scaling is an example of an interdependence method
E)Factor analysis is an example of an interdependence method
2

Which of the following is not a dependence method?
A)Cluster analysis
B)Discriminant analysis
C)Multiple regression
D)ANOVA
E)MANOVA
3

When the dependent variable is non-metric, the appropriate multivariate technique to use is:
A)Cluster analysis
B)Discriminant analysis
C)Factor analysis
D)ANOVA
E)Multidimensional scaling
4

Factor analysis involves:
A)grouping individuals into factors so that individuals belonging to one factor are similar to each other
B)predicting whether a given individual will belong to a certain group or not
C)summarizing a large number of variables into a few underlying factors
D)finding correlations between variables that belong to a factor
E)all of the above
5

The correlation between each of the original variables and the newly developed factors (in factor analysis) are referred to as:
A)factor correlations
B)Pearson correlation coefficient
C)axes significance
D)factor coefficients
E)factor loadings
6

Which of the following statements is NOT true about factor analysis?
A)It is an interdependence method
B)It helps summarize large number of variables into few underlying factors
C)It generates statistically appropriate names for the resulting factors
D)It is up to the researcher to decide how many factors to retain from a factor analysis
E)It is frequently used with metric data
7

Cluster analysis can be used in all of the following situations, EXCEPT:
A)to examine inter-brand competition to assess a firm's fiercest competitors
B)to group markets into homogenous clusters
C)to identify similar groups of buyers who have similar choice criteria
D)to develop distinct market segments based on demographic or psychographic variables
E)to predict if a given customer would belong to the loyal or non-loyal group of customers
8

Which of the following statements is not true about cluster analysis?
A)It is an interdependence multivariate method
B)It helps classify objects into groups
C)It is up to the researcher to determine how many clusters to accept
D)It measures the degree of similarity based on a distance measure
E)It seeks to create groups so that there is as much different within each segment and as much similarity between segments as possible
9

In discriminant analysis, the linear combination of independent variables that shows large differences in group means is called the:
A)discriminating factor
B)discriminant function
C)discriminant coefficient
D)classification matrix function
E)discriminant score
10

The estimate of the discriminatory power of a particular independent variable is called the:
A)discriminating factor
B)discriminant function
C)discriminant function coefficient
D)classification matrix function
E)discriminant score
11

Discriminant analysis can be used in all of the following situations, EXCEPT:
A)to summarize large number of variables into a few key factors
B)to help distinguish between heavy, light, and medium users based on their consumption habits and lifestyles
C)to distinguish between customers who exhibit favorable perceptions of a brand and those who do not
D)to distinguish between market segments based on their media consumption habits
E)to distinguish between customer segments who respond to direct marketing solicitations and those who do not
12

The purpose of techniques such as factor analysis and cluster analysis is to predict a variable from a set of independent variables.
A)True
B)False
13

The lower the factor loading, the more highly correlated the variable is to the factor.
A)True
B)False
14

The objective of factor analysis is to have as few factors as possible and yet account for a reasonable amount of information in the original set of variables.
A)True
B)False
15

Cluster analysis classifies objects in such a way that there is as much similarity within segments and as much difference between segments as possible.
A)True
B)False





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