Several prominent multivariate psychological methodologists recommend the use of canonical correlation to relate multidimensional sets of variables. This method along with separate factor analyses of the sets is considered in relation to the questions they may be able to answer on a specific research problem. Alternate analyses of data from the social sciences illustrate the value of common factor analysis compared with canonical analysis as a method for relating the underlying constructs across sets of variables.
References
1.
BanksA. S. (Ed.) Cross-polity time-series. Cambridge, Mass.: MIT Press, 1971.
2.
CooleyW. W.LohnesP. R.Multivariate data analysis. New York: Wiley, 1971.
3.
DarlingtonR. B.WeinbergS. L.WalbergH. J.Canonical variate analysis and related techniques. Review of Educational Research, 1973, 43, 433–454.
4.
GuertinW. H.BaileyJ. P.Introduction to modern factor analysis. Ann Arbor, Mich.: Edwards, 1970.
5.
HarmanH. H.Modern factor analysis. Chicago: Univer. of Chicago Press, 1970.
6.
MorrisonD. F.Multivariate statistical methods. New York: McGraw-Hill, 1967.
7.
TatsuokaM. M.Multivariate analysis. New York: Wiley, 1971.
8.
VeldmanD. J.Fortran programming for the behavioral sciences. New York: Holt, Rinehart & Winston, 1967.
