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How to make the right choice: a new model for the selection interview

C Taylor1

  • 1Deakin University, School of Nursing, Victoria, Australia.

Journal of Advanced Nursing
|February 1, 1993
PubMed
Summary

Selecting staff for nursing faculties is challenging due to diverse applicant backgrounds. A new model aids selection panels in identifying the best candidates for academic nursing roles.

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Area of Science:

  • Higher Education
  • Nursing Faculty Recruitment

Background:

  • Staff selection in higher education faces universal organizational challenges.
  • Nursing faculties encounter unique difficulties due to diverse clinical and academic applicant backgrounds.

Purpose of the Study:

  • To address the complexities of selecting appropriate staff for nursing faculties.
  • To develop criteria for desirable nurse academic employee characteristics.
  • To introduce a new predictive model for staff selection in nursing academia.

Main Methods:

  • Literature analysis to identify desirable employee characteristics.
  • Development of a new model for predicting suitable candidates.
  • Utilizing group decision-making principles in the interview process.

Main Results:

  • Established criteria for evaluating nurse academic applicants.
  • Identified a novel model to assist selection panels.
  • Highlighted the importance of assessing prior learning against desired traits.

Conclusions:

  • The proposed model can enhance the prediction of successful hires for nursing faculty positions.
  • Effective staff selection in nursing academia requires careful consideration of diverse qualifications.
  • Group decision-making in interviews is crucial for evaluating candidates against set criteria.

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