An Application of Ridge Regression to Educational Research
Description:
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 propose…
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Date:
December 1980
Creator:
Amos, Nancy Notley
Partner:
UNT Libraries