A Canonical Cautionary

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1989 English Publisher:Informa UK LimitedJournal:Multivariate Behavioral Research, volume 24, pages 17-39 (issn: 0027-3171, eissn: 1532-7906,

Copyright policy )

Authors: R J, Harris;

doi: 10.1207/s15327906mbr2401_2

pmid: 26794294

A Canonical Cautionary

- Summary
- Metrics

Abstract

A cautionary tale demonstrates that relationships between linear composites of variables can be identified via canonical correlation analysis, providing that the resulting canonical variates are interpreted on the basis of the canonical-variate weights (the combining weights used in computing scores on the canonical variates) and not on the basis of the structure coefficients (the correlations of the original variables with the canonical variates).

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	11
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average