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Interviewer bias when using multiple mini-interviews in selecting student nurses in a Chinese setting.

Mike K P So1, Amanda M Y Chu2, Agnes Tiwari3

  • 1Department of Information Systems, Business Statistics and Operations Management, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong.

Nurse Education Today
|December 14, 2022
PubMed
Summary
This summary is machine-generated.

Interviewer bias in multiple mini-interviews (MMIs) can affect student nurse assessments. This study used multi-faceted Rasch measurement (MFRM) to identify and quantify bias in a Hong Kong nursing school, finding significant individual interviewer variations.

Keywords:
InterviewsMMIMulti-faceted Rasch measurementNursing programSelecting candidatesStudent nurse

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Area of Science:

  • Educational assessment
  • Psychometrics
  • Nursing education

Background:

  • Interviewer effects can introduce bias in multiple mini-interviews (MMIs), potentially leading to unfair assessments.
  • Cultural differences may influence interviewer bias, with limited research on MMI interviewer effects in Eastern contexts like China.
  • Multiple mini-interviews (MMIs) are increasingly used but require scrutiny for bias, especially in non-Western settings.

Purpose of the Study:

  • To measure interviewer effects in assessments using a multi-faceted Rasch measurement (MFRM) approach in Hong Kong.
  • To investigate potential bias factors including interviewer stringency, candidate gender, interview duration, and rating categories within MMI assessments.
  • To identify and quantify individual interviewer bias in the context of student nurse selection.

Main Methods:

  • Data from 431 candidates and 12 interviewers across a six-station MMI setting at a Hong Kong nursing school were analyzed.
  • Multi-faceted Rasch measurement (MFRM) was employed to assess interviewer stringency/leniency, candidate gender, interview time, and rating category effects.
  • Student's t-statistic values were calculated to examine individual interviewer marking tendencies.

Main Results:

  • Significant differences in interviewer stringency/leniency were observed, but not influenced by the number of candidates interviewed.
  • Candidate gender and interview time did not show sufficient evidence of bias in this study.
  • Honesty/integrity was the most stringent rating category, while self-awareness was the most lenient; individual interviewer bias was identified, potentially linked to gender or rating categories.

Conclusions:

  • Multiple mini-interviews (MMIs) are effective for student nurse selection in Chinese settings, but interviewer bias remains a concern.
  • Multi-faceted Rasch measurement (MFRM) provides a robust method for understanding interviewer bias across multiple dimensions.
  • This research offers valuable insights for developing and implementing MMIs in non-Western countries and serves as a reference for future studies.