Hierarchical clustering works well if a researcher needs a fixed number of clusters,whereas nonhierarchical clustering is more useful when one needs to compare different clustering solutions.
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Q4: Factor analysis can be used for data
Q5: In hierarchical cluster analysis,once a group of
Q6: If the eigenvalue of the first factor
Q7: Factor analysis tells us which variables are
Q8: Varimax rotation involves an oblique rotation of
Q10: The principal .reason for rotating a factor
Q11: Varimax rotation in factor analysis will tell
Q12: In dependence models,no variable or variables are
Q13: To use cluster analysis,researchers must choose either
Q14: Variables that have drastically different ranges can
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