Abstract
This study investigated the usefulness of a number of noncognitive variables in improving the prediction of students' first semester, second semester, and first-year grade point averages. Freshman nursing students entering five associate degree nursing schools between 1964 and 1967 ( N = 495) were used as the validation sample. The cross-validation sample included the 1968 ( N = 170) entrants. When added to a battery of established cognitive predictors, several noncognitive variables added a unique and significant increment to the prediction of grade point averages in associate degree nursing programs. These variables were: age in months of the student, year of entry into nursing school, level of previous education of the student, and the particular school attended. These results encourage future studies in search of new noncognitive variables to improve prediction. Measures of a student's past health and practical experience might be worthy of future study.
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