Applying The Semistandardized Regression Coefficient To Factor, Canonical, And Path Analysis
Gordon R. Stavig, Alan C. Acock
Abstract
Gordon R. Stavig, Alan C. Acock
Abstract
The semistandardized (SS) regression coefficient is applied to factor, canonical and path analysis. The SS regression coefficient is interpreted as: if the standardized independent factor, canonical variate, or variable increases one standard deviation unit, then the dependent indicator y will increase by b' yzx units. The SS coefficient provides information not given by the conventional standardized regression coefficients used in factor, canonical, and path analysis.
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The semistandardized (SS) regression coefficient is applied to factor, canonical and path analysis. The SS regression coefficient is interpreted as: if the standardized independent factor, canonical variate, or variable increases one standard deviation unit, then the dependent indicator y will increase by b' yzx units. The SS coefficient provides information not given by the conventional standardized regression coefficients used in factor, canonical, and path analysis.
Key concepts: Path coefficient, Standardized coefficient, Canonical analysis, Statistics, Canonical correlation, Regression analysis, Mathematics, Regression