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Improving reliability of a residency interview process.

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This study optimized a pharmacy resident interview evaluation form using the Many-Facet Rasch Measurement model. The enhanced form and process improved interview reliability and reduced content specificity.

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Area of Science:

  • Pharmacy Education
  • Psychometrics
  • Human Resources in Healthcare

Background:

  • Pharmacy residency interviews are crucial for candidate selection.
  • Existing evaluation forms may lack reliability and discrimination.
  • Improving the interview process enhances the quality of resident selection.

Purpose of the Study:

  • To enhance the reliability and discrimination of a pharmacy resident interview evaluation form.
  • To improve the overall reliability of the pharmacy residency interview process.
  • To minimize the impact of content specificity on interview outcomes.

Main Methods:

  • Phase 1: Employed Many-Facet Rasch Measurement (MFRM) to refine an existing evaluation form.
  • Phase 2: Utilized the modified form with interviewer pairs across four interview stations.
  • Phase 3: Conducted individual evaluations with eight interviewers in one-on-one settings.

Main Results:

  • The optimized form achieved a reliability of 0.98 and separated applicants into six distinct groups.
  • Candidate variability was the primary source of variation, followed by content specificity.
  • Phase 2 g-coefficient was 0.787, and confirmatory Phase 3 g-coefficient was 0.922.
  • Increased interview stations improved process reliability and significantly reduced content specificity impact.

Conclusions:

  • Developed a more reliable and discriminating evaluation form for pharmacy resident interviews.
  • Established a process that effectively mitigates the influence of content specificity.
  • The refined evaluation tool and process contribute to more objective candidate assessment.