A statistical manoeuvre which defines covariation for 2 groups of random variables—x and y—and seeks to identify linear combinations of the x's and the y's which have maximum correlation with each other.
The basic logic of result cross-validation (Oxford & Daniel, 2001) can assist the researcher in making preliminary judgments about the generalizability of results obtained in a canonical correlation analysis.
For hypothesis three (supervisees' work setting, caseload, perceptions of rapport with supervisor, and perceptions of supervisor focus on the client will correlate with supervisee intrinsic and extrinsic work satisfaction, role ambiguity, role boundary, and role overload), canonical correlation was performed between a set of supervision/setting variables and a set of work satisfaction/work stress variables.
If there is a relationship between nutrition and measured characters, multivariate analyses such as canonical correlation analysis (CCA), a technique for describing the relationship between two variable sets simultaneously and to produce both structural and spatial meanings (Thompson, 1984), contribute to layer type hens breeding by providing information based on indirect selection.
Canonical correlation was used to derive higher order factors shared between the predictor domain (P-E congruence, self-efficacy, and environmental identity) and the criterion domain (satisfaction with work, pay, promotions, supervision, coworkers, and overall job satisfaction).
Data obtained in the study has been analyzed at the base of multivariate data analysis and the results show that the canonical correlation between job satisfaction and business excellence model is significant.