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An Application of Ridge Regression to Educational Research

Behavioral data are frequently plagued with highly intercorrelated variables. Collinearity is an indication of insufficient information in the model or in the data. It, therefore, contributes to the unreliability of the estimated coefficients. One result of collinearity is that regression weights derived in one sample may lead to poor prediction in another model. One technique which was developed to deal with highly intercorrelated independent variables is ridge regression. It was first proposed by Hoerl and Kennard in 1970 as a method which would allow the data analyst to both stabilize his estimates and improve upon his squared error loss. The problem of this study was the application of ridge regression in the analysis of data resulting from educational research.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc330591
Date12 1900
CreatorsAmos, Nancy Notley
ContributorsCurry, John F., Spalding, John Barney, Tate, C. Neal (Chester Neal), 1943-, Brookshire, William K.
PublisherNorth Texas State University
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
Formatvi, 125 leaves : ill., Text
RightsPublic, Amos, Nancy Notley, Copyright, Copyright is held by the author, unless otherwise noted. All rights reserved.

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