canonical correlation analysis

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canonical correlation analysis

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.
References in periodicals archive ?
in conditions of >>relationship marketing<<), by taking into account as statistically significant those canonical correlation coefficients, which have been larger than 0,5 and smaller than--0,5.
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.
Canonical Adjusted Approximate Squared Correlation Canonical Standard Canonical Correlation Error Correlation 1 0.
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.
Table 1 summarizes the descriptive statistics and alpha reliability of the typical student alcohol use intensity variable, and Table 2 summarizes the results from the canonical correlation analysis.
On the other hand, the Anderson canonical correlation statistics are high enough to reject the hypothesis of under-identification, and that the group of excluded instruments selected is relevant.
15 0 Logistic regression 0 0 0 0 0 Network analysis 0 0 0 0 0 Cluster analysis 0 0 0 0 0 Path analysis 0 0 0 0 0 SEM 0 0 0 0 0 Causal mapping 0 0 0 0 0 Canonical correlation 0 0 0 0 0 Curvilinear regression 0 0 0 0 0 CFA 0 0 0 0 0 EFA 0 0 0 0 0 Reliability analysis 0 0 0 0 0 Hybrid conjoint analysis 0 0 0 0 0 Year article published 81 82 83 84 85 Number of articles 7 2 2 4 13 Number from ETP 7 2 2 4 8 Number from JBV -- -- -- -- 5 Number of hypotheses 7 4 5 4 27 Cross-sectional .
A canonical correlation analysis was also performed between the predictor and criterion sets of variables.
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.
Given the continuous nature of four predictor work-family balance variables and six criterion outcome variables, Canonical Correlation (CC) was performed followed by Regression Analysis.