A single correlation coefficient can take values between −1.0 and +1.0. What is just as important, but less often taught, is that the correlations in a matrix of intercorrelations are not free to vary over the same range of values. This is relevant whenever we try to assess whether a number of variables have relatively high or relatively low intercorrelations and is particularly relevant to ipsative scores.
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References
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HorstP.Factor analysis of data matrices. New York: Holt, Rinehart, & Winston, 1965.
