The underlying hypothetical (unobservable) variables in factor analysis are called factors.
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Q1: Factor analysis is used to describe the
Q3: The main set of results obtained from
Q4: An index provided inn the results of
Q5: The process by which the factors are
Q6: In principal components analysis, only unique variability
Q7: In factor analysis, unique, shared, and error
Q8: Factor analysis analyzes variance.
Q9: Principle components analysis analyzes covariance.
Q10: Principal components analysis is usually the preferred
Q11: Kaiser's rule states that only those components
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