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Multiple Regression Analysis	2
Predictor Variables	2
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Educational Research	1
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Mid-Western Educational…	1
Multiple Linear Regression…	1

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McNeil, Keith	2
Harris, Richard J.	1

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Both Sides Now: Interpreting Beta Weights. "Beta" Weights Should Be Used to Interpret Regression Variates and to Assess In-Context Variable Importance. Cautions and Conditions for Interpreting Weighting Coefficients.

Peer reviewed

Harris, Richard J.; McNeil, Keith – Mid-Western Educational Researcher, 1993

Presents two viewpoints about the use and interpretability of beta weights in educational research: (1) that beta weights should be interpreted as a logical index of the importance of individual predictors within the context of the entire set of predictors; and (2) that interpretation requires certain cautions and conditions. (SV)

Descriptors: Data Interpretation, Educational Research, Multiple Regression Analysis, Predictor Variables

Nonlinear Transformation of the Criterion.

Peer reviewed

McNeil, Keith; And Others – Multiple Linear Regression Viewpoints, 1979

The utility of a nonlinear transformation of the criterion variable in multiple regression analysis is established. A well-known law--the Pythagorean Theorem--illustrates the point. (Author/JKS)

Descriptors: Geometric Concepts, Multiple Regression Analysis, Predictor Variables, Technical Reports