A) an improved substantive interpretation of the solution.
B) a change in the achieved communality estimate for any one variable.
C) a change in the proportion of variance accounted for by any one factor.
D) a and b above.
E) a and c above.
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Multiple Choice
A) After subjects have evaluated objects in terms of defined attributes, the researcher can correlate the attribute scale scores for each object with the coordinates for each object in the perceptual map.
B) Managers may use their experience to interpret the dimensions.
C) Researchers may attempt to relate the dimensions to actual attributes of the objects under study.
D) Researchers may name the resulting dimensions based on a priori hypotheses.
E) All of the above are methods for naming dimensions in MDS.
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Multiple Choice
A) What is the dependent variable?
B) Should factor analysis be applied to the data?
C) Which factor model should be used?
D) Should the initial solution be rotated?
E) All of the above are key decisions that need to be made when factor analyzing data.
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Multiple Choice
A) is an index of variation.
B) is a measure of central tendency.
C) is a lack of fit index.
D) is an index of reproducibility.
E) is an index of dispersion.
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Multiple Choice
A) 1
B) 2
C) 3
D) 4
E) 5
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Multiple Choice
A) Different methods of cluster analysis can produce different results.
B) There is consensus on which method of cluster analysis is best under all circumstances.
C) Nodal methods of factor analysis involve the selection of an object or objects to serve as focal points for the clusters.
D) The average linkage method works better than the other hierarchical method of cluster analysis.
E) Cluster analysis seeks to identify natural groupings of objects given the multivariate nature of the data.
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Multiple Choice
A) the proportion of variation accounted for by the factor.
B) the proportion of variation in the variable accounted for by the complete set of possible factors.
C) the proportion of variation shared by one pair of variables.
D) the proportion of variation in the variable shared by all variables in the analysis.
E) none of the above.
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Multiple Choice
A) the variables used to determine the clusters can be tested to determine if the clusters have statistically different values across the groups.
B) the reliability of the estimates can be assessed by splitting the data into multiple subsets and assessing whether the same clusters are produced when the subsets are analyzed.
C) significance tests can be performed that compare the clusters on variables not used to generate the solution.
D) All of the above procedures are correct.
E) Both b and c are correct.
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Multiple Choice
A) .20 to .25.
B) .25 to .30.
C) .30 to .35.
D) .35 to .40.
E) .40 to .45.
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Multiple Choice
A) divides the mean discriminant scores.
B) determines which discriminant functions are statistically significant.
C) determines which discriminant coefficients are statistically significant.
D) is used as a guide to classify subjects.
E) is a and d above.
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Multiple Choice
A) begin interpretation of the function by examining the discriminant coefficients
B) check the statistical significance of the function
C) standardize the discriminant coefficients
D) classify individuals using the discriminant function
E) none of the above
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Multiple Choice
A) the mean differences of the groups on each variable
B) the discriminant coefficients
C) the pairwise correlations between the variable and the discriminant score
D) the standardized coefficients
E) Both b and c are not quantities used to assess the relative importance of variables in discriminating between groups.
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Multiple Choice
A) 51%
B) 100%
C) 78%
D) 27%
E) more information is needed
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Multiple Choice
A) inactivity and aggressiveness
B) inactivity and ambition
C) aggressiveness and stress
D) aggressiveness and ambition
E) stress and ambition
Correct Answer
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Multiple Choice
A) 363.08.
B) 365.21.
C) 372.53.
D) 380.47.
E) 392.03.
Correct Answer
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Multiple Choice
A) individual column totals.
B) individual row totals.
C) both the individual column and row totals.
D) total number of subjects in the diagonal of the matrix.
E) average of the column totals.
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Multiple Choice
A) maintain the right angles between the factors.
B) enhance the substantive interpretation of the unrotated factor solution.
C) force the entries in the columns of the factor loading matrix to be near 0 or 1.
D) all of the above.
E) a and b above.
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Multiple Choice
A) X1
B) X2
C) X3
D) X4
E) X5
Correct Answer
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Multiple Choice
A) transform a set of interrelated variables into a set of unrelated linear combinations of these variables.
B) choose the set of linear combinations so that each factor accounts for an increasing proportion of the variance in the original variables.
C) choose the set of linear combinations so that the factors are uncorrelated with each other.
D) a and b.
E) a and c.
Correct Answer
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Multiple Choice
A) examine the size of the latent roots.
B) plot the size of the latent roots against the number of factors.
C) examine the amount of covariability recovery.
D) examine the amount of variability recovery.
E) all of the above.
Correct Answer
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