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PREDICTION OF GRADE POINT AVERAGES IN NURSING SCHOOLS USING SECOND‐ORDER MULTIPLE REGRESSION MODELS
Author(s) -
REED CHERYL L.,
FELDHUSEN JOHN F.,
MONDFRANS ADRIAN P.
Publication year - 1972
Publication title -
journal of educational measurement
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.917
H-Index - 47
eISSN - 1745-3984
pISSN - 0022-0655
DOI - 10.1111/j.1745-3984.1972.tb00950.x
Subject(s) - predictability , regression analysis , statistics , psychology , quadratic equation , econometrics , predictive validity , regression , personality , mathematics , point (geometry) , social psychology , geometry
The present study was concerned with the prediction of first year grade point averages of associate degree nursing students. The primary objective of this investigation was to determine whether the inclusion of quadratic and/or interaction terms in a regression model would improve the prediction of student nurses’ grade averages. The predictor battery included cognitive, biographical, and personality variables. Results indicated that interaction and quadratic terms improve both the predictability of grade point averages and the replicability of these predictions. The inclusion of higher order terms in prediction research is suggested as a means of improving predictive efficiency.