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- W2529309267 abstract "Introduction Few studies have examined the best use of admission data to differentiate between successful and unsuccessful students in a nursing program. Methods Using data from 341 students admitted over a 3-year period, the authors attempted to determine which factors best predicted student success in a baccalaureate of science in nursing, or BSN, program. These factors were used to develop an admission formula that was tested retroactively to determine its ability to differentiate between successful and unsuccessful students. The authors defined student success as passing all nursing courses on the first attempt with a grade of C or above, completing the program on time, and passing the National Council Licensure Examination on the first attempt. Logistic regression for prediction of the probability of success found that the following three variables accounted for 76% of the variance: preprogram grade point average, or GPA, science GPA, and scores on the Health Educational Systems Incorporated Admission Assessment anatomy and physiology subscale. The formula derived was validated by retrospective analysis to determine effect of using this model to select students for admission. Results Use of this model would have eliminated 40.9% of the unsuccessful students and retained 84% of the successful students. Conclusion The formula derived from this study is now being used to select students for the BSN program. In the future, graduation rates obtained by using this formula will be compared to the graduation rates obtained by the prior rational admission process." @default.
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- W2529309267 date "2016-10-01" @default.
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- W2529309267 title "Preadmission Predictors of Student Success in a Baccalaureate of Science in Nursing Program" @default.
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- W2529309267 doi "https://doi.org/10.1016/s2155-8256(16)32315-8" @default.
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