Canonical correlation analysis: a tool for exploring relationships in small business and entrepreneurship research
Bernice Kotey, Lydon Brooks
Abstract
Bernice Kotey, Lydon Brooks
Abstract
The canonical correlation technique is useful for exploring multivariate associations between sets of dependent and independent variables. It is superior to correlation techniques such as bivariate pairings and multiple regression where relationships among sets of independent (predictor) and dependent (criterion) variables are being considered.
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The canonical correlation technique is useful for exploring multivariate associations between sets of dependent and independent variables. It is superior to correlation techniques such as bivariate pairings and multiple regression where relationships among sets of independent (predictor) and dependent (criterion) variables are being considered.
Key concepts: Canonical correlation, Bivariate analysis, Correlation, Multivariate statistics, Canonical analysis, Variables, Regression analysis, Econometrics