In factor analysis, unique, shared, and error variability is analyzed for each observed variable.
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Q2: The underlying hypothetical (unobservable) variables in factor
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
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
Q12: An eigenvalue is defined as the amount
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