Literature DB >> 20509584

Academic predictors of success in a nursing program.

Amanda A Wolkowitz1, Jeffrey A Kelley.   

Abstract

The academic content areas that best predict success early in a nursing program affect admission and placement decisions in nursing programs nationwide. The purpose of this research was to apply a multiple regression model to student test scores to determine the relative strength of science, mathematics, reading, and English content areas in predicting early nursing school success. Using a standardized nursing entrance examination, the subtest scores of these four academic areas for 4,105 registered nurse students were used as the predictors in the regression model. Performance on a standardized Fundamentals of Nursing assessment was the criterion variable. Results confirmed those found in the majority of the literature indicating that science is both a statistically significant predictor and the strongest of the four content areas in the prediction of early nursing program success.

Mesh:

Year:  2010        PMID: 20509584     DOI: 10.3928/01484834-20100524-09

Source DB:  PubMed          Journal:  J Nurs Educ        ISSN: 0148-4834            Impact factor:   1.726


  3 in total

1.  Quantitative evaluation of variables to student success in a mastery learning baccalaureate nursing programme.

Authors:  Marie Rolf; Margaret Kroposki; Susan Watson
Journal:  Nurs Open       Date:  2019-04-07

2.  A scoping review of admission criteria and selection methods in nursing education.

Authors:  Vahid Zamanzadeh; Akram Ghahramanian; Leila Valizadeh; Farzaneh Bagheriyeh; Marita Lynagh
Journal:  BMC Nurs       Date:  2020-12-14

3.  Performance in grade 12 mathematics and science predicts student nurses' performance in first year science modules at a university in the Western Cape.

Authors:  Katlego D T Mthimunye; Felicity M Daniels
Journal:  Curationis       Date:  2017-10-26
  3 in total

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