True/False
Principal components analysis is appropriate when the primary concern is to identify the underlying dimensions and the common variance is of interest.
Correct Answer:
Verified
Correct Answer:
Verified
Related Questions
Q57: It is possible to compute as many
Q58: Factor loadings represent the correlations between sets
Q59: A factor model that provides a good
Q60: Under what general circumstances is factor analysis
Q61: Bartlett's test of sphericity is one test
Q63: _ is the last step in factor
Q64: The differences between the observed correlations (as
Q65: The amount of variance a variable shares
Q66: Factor analysis examines the whole set of
Q67: Residuals are the differences between the observed