Nine years of data from first-time nurse candidates taking the National Council Licensure Examination for Registered Nurses (NCLEX-RN) were examined to identify predictors of successful performance and determine probabilities of success.
Using logistic regression, four statistical models at strategic time periods during an accelerated baccalaureate nursing program were tested to see when intervention might be initiated to influence student performance on the NCLEX-RN.
By the end of the first semester the model could predict failure for 94 per cent of those who failed, but it was less consequential in correctly predicting success of those who passed.
Mots-clés Pascal : Réussite universitaire, Enseignement universitaire, Etudiant, Examen universitaire, Enseignement secondaire, Infirmier, Personnel sanitaire, Etats Unis, Amérique du Nord, Amérique, Enseignement accéléré, Baccalauréat
Mots-clés Pascal anglais : College academic achievement, Higher education, Student, College examen, College level education, Nurse, Health staff, United States, North America, America
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 93-0164295
Code Inist : 002B30A09. Création : 199406.