Factor analysis tells us which variables are similar to one another and how they should be grouped.
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Q2: Cluster analysis clarifies the underlying structure of
Q3: Discriminant analysis and factor analysis are examples
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
Q8: Varimax rotation involves an oblique rotation of
Q9: Hierarchical clustering works well if a researcher
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
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