On Selecting the Best Set of Regression Predictors.

Morris, John D.; And Others

Notes FAQ Contact Us

Back to results

Peer reviewed

ERIC Number: EJ231245

Record Type: Journal

Publication Date: 1979

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: N/A

EISSN: N/A

Available Date: N/A

On Selecting the Best Set of Regression Predictors.

Morris, John D.; And Others

Journal of Experimental Education, v48 n2 p100-03 Win 1979-80

Three traditional methods of selection of variables to be included in a "best" regression equation are compared to a method designed to maximize weight validity. Implications for constructing regression equations for prediction are discussed, with consideration of the weight validity maximization method recommended in crucial situations. (Author/GSK)

Descriptors: Academic Achievement, High Schools, Multiple Regression Analysis, Predictor Variables, Research Design

Publication Type: Journal Articles; Reports - Research

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A

Author Affiliations: N/A