Partial Canonical Correlation Analysis Research Articles

Content and response-style in the construct validation of self-report inventories: A canonical analysis

A common problem in establishing the construct validity of self-report inventories is the confounding of the purported meaning of test scores with response styles such as social desirability. Partial correlation is a traditional method of controlling such confounding effects. This paper demonstrates the analytic and interpretive advantages of using canonical correlation to remove the effects of a confounding variable. To this end, the present study examined the test protocols of 64 male inpatient alcoholics to determine whether a general measure of mental health (Sulliman Scale of Social Interest) was related to inventories that assess psychopathology (MMPI and PSI) beyond what one could expect by Ss responding in a socially desirable manner. The results of partial correlation and canonical correlation analysis were contrasted, which demonstrated the spuriousness of partial correlations in controlling for social desirability.

Facteurs influen�ant la structure des groupements de macro-invert�br�s benthiques et phytophiles dans la zone littorale du Saint-Laurent (Qu�bec)

In the littoral zone of the St-Lawrence River (Quebec, Canada), benthic and phytophilous macroinvertebrates were studied in order to find and to explain relationships between structure of these animal communities and abiotic (substrate, water depth, current velocity) or biotic (marophytes species) factors. Benthos was sampled at 16 sites in spring, when there was no macrophytic vegetation, and in summer. Phytomacrofauna was sampled at 30 sites in summer. The data were analyzed using simple and partial correlations, stepwise regression, reciprocal averaging and canonical correlation analysis.

Generalizations of the partial, part and bipartial canonical correlation analysis

Theg 1- andg 2-bipartial canonical correlation analyses are developed as generalizations of the partial, part, and bipartial canonical correlation analysis. Illustrative examples are provided.