Journal Article

Standards for Standardized Logistic Regression Coefficients

Menard, Scott

2011

Overview

Standardized coefficients in logistic regression analysis have the same utility as standardized coefficients in linear regression analysis. Although there has been no consensus on the best way to construct standardized logistic regression coefficients, there is now sufficient evidence to suggest a single best approach to the construction of a standardized logistic regression coefficient 1 that can be used in the same way across a broad range of problems as the standardized linear regression coefficient and also to suggest the adequacy of other approaches for limited purposes. This article reviews the state of knowledge regarding the use of standardized coefficients in general and standardized logistic regression coefficients in particular, and makes specific recommendations on how to best use (and avoid abusing) standardized logistic regression coefficients.

• Publisher: University of North Carolina Press,The University of North Carolina Press,Oxford University Press
• Subject: Behavioral Sciences / Beliefs / Coefficients / Computation / Errors / Ethnicity / History, theory and methodology / Least Squares Statistics / Linear models / Linear regression / Logistic functions / Logistic regression / Marijuana / Maximum Likelihood Statistics / Methodology / Methodology (Data Analysis) / Modeling / Multiple regression / Multiple Regression Analysis / Non-linear models / Predictor Variables / Quantitative analysis / QUANTITATIVE METHODS / Race / Regression (Statistics) / Regression Analysis / Regression coefficients / Science texts / Social sciences / Sociology / Standard deviation / Standardization / Statistical Analysis / Statistics / Structural Equation Models / Studies / Variable coefficients / Variables / Variance