1981Multivariate Behavioral ResearchRequires access

Applying The Semistandardized Regression Coefficient To Factor, Canonical, And Path Analysis

Gordon R. Stavig, Alan C. Acock

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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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What this paper is about

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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Available 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.

Key concepts: Path coefficient, Standardized coefficient, Canonical analysis, Statistics, Canonical correlation, Regression analysis, Mathematics, Regression

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