The Importance of Structure Coefficients in Multiple Regression [electronic resource] : A Review with Examples from Published Literature / Thomas K. Burdenski, Jr.

This paper discusses the importance of interpreting both regression coefficients and structure coefficients when analyzing the results of multiple regression analysis, particularly with correlated predictor variables. The concepts of multicolinearity and suppressor effects are introduced, along with...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Author:	Burdenski, Thomas K., Jr
Format:	Electronic eBook
Language:	English
Published:	[S.l.] : Distributed by ERIC Clearinghouse, 2000.
Subjects:	Predictor Variables. Regression (Statistics)