FORMULAS FOR PREDICTING ACADEMIC SUCCESS AND STATE BOARD SCORES FOR ASSOCIATE DEGREE NURSING STUDENTS AT NORTHWEST MISSISSIPPI JUNIOR COLLEGE (GRADE POINT AVERAGE, MULTIPLE REGRESSIONS).
Contributors: University of Mississippi.
Published: 1985
Number of pages: 119
Subjects: Education, Higher.
Description: The purpose of the study was to develop formulas using specific preadmission variables age; American College Test (ACT) scores in English, mathematics, social science, and natural science; composite ACT score; and high school grade point average to predict (1) cumulative grade point averages in the associate degree nursing program at Northwest Mississippi Junior College, (2) scores on the State Board Test Pool Examination (SBTPE), and (3) whether students would be likely or unlikely to succeed in the nursing program. An additional purpose was to develop a formula to predict SBTPE scores using cumulative grade point average in the nursing program at the time of graduation.

The population for the study was students enrolled in the associate degree nursing program at Northwest Mississippi Junior College during the years 1980-1983. The study involved four graduating classes of students (n = 173).

Multiple regressions, using specific preadmission variables, were used to produce prediction formulas for cumulative grade point average and SBTPE scores. A simple regression analysis, using cumulative grade point average, was implemented to produce a prediction formula for the SBTPE score. Discriminate function analysis using specific preadmission variables, was undertaken to produce prediction formulas that classify students as persisters or dropouts. Cross-validation analysis was employed to test the prediction formulas.

The cumulative grade point average in the program was best predicted by the social science ACT score. When the predictive value of the formula was tested on the graduating class of December 1983, the Pearson product moment correlation between the actual and predicted grade point average was statistically significant. State Board Test Pool Examination scores were best predicted by English ACT scores and age of the student at the time of admission into the program. The prediction formula proved to be statistically significant when the cross-validation analysis was performed. The grade point average earned in the program was found to be statistically significant in predicting SBTPE scores. The formula produced by a discriminate function analysis to predict whether a student will be a persister or dropout included all of the preadmission variables of the study. The formula proved to be statistically significant.
Notes: Source: Dissertation Abstracts International, Volume: 46-05, Section: A, page: 1203.

Thesis (PH.D.)--THE UNIVERSITY OF MISSISSIPPI, 1985.

School code: 0131.