title: Young people considering nursing as a career: starters vs. non-starters.
abstract: This study focused on applicants who were accepted to a nursing education program but did not begin their studies, thus wasting time, effort and money. Of 953 accepted applicants, 27% did not enter the program. Significant variables differentiating starters from non-starters were higher psychometric score, higher paternal education, lower priority for nursing studies, older age, non-Israeli country of birth and not completed army service. The study relating to starters vs. non-starters is one aspect of a large study (Ehrenfeld, Rotenberg, Sharon, & Bergman, 1995). In most nursing education programs the number of applicants exceed the faculty's capacity, and suitable candidates must be rejected. It is therefore both wasteful and disappointing when accepted applicants change their mind and do not actually begin in the program. In light of the costs and complexities involved in the student screening process and the continuous efforts extended today all over the world to raise the standards of nursing education and care, the factors differentiating starters from non-starters may have important implications. The aim of the present study was to evaluate the screening process at the Tel Aviv University baccalaureate nursing program and determine which variables were predictive of starters and non-starters among accepted applicants.
authors.affiliation: Department of Nursing, School of Health Professions, Sackler Faculty of Medicine, Tel Aviv University, Israel.
authors.forename: M
authors.initials: M
authors.lastname: Ehrenfeld
authors.forename: A
authors.initials: A
authors.lastname: Rotenberg
authors.forename: R
authors.initials: R
authors.lastname: Sharon
authors.forename: R
authors.initials: R
authors.lastname: Bergman
mesh_terms: D016002:Discriminant Analysis; D004506:Education, Nursing; D005260:Female; D006801:Humans; D007557:Israel; D008297:Male; D009042:Motivation; D012570:School Admission Criteria; D013332:Student Dropouts / Q000523:psychology* / Q000706:statistics & numerical data