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Investigating the internal structure of multiple mini interviews-A perspective from Pakistan.

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This study validates the Multiple Mini-Interviews (MMI) for healthcare education selection. Confirmatory factor analysis confirmed the MMI

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Area of Science:

  • Medical Education
  • Psychometrics
  • Healthcare Professional Selection

Background:

  • Healthcare professionals need specific personal attributes beyond cognitive skills.
  • Multiple Mini-Interviews (MMI) are used globally to assess these attributes for entry into health professions education.
  • Rigorous quality assurance is needed for MMI, but evidence for their internal structure, especially dimensionality, is limited.

Purpose of the Study:

  • To provide statistical evidence for the multi-dimensional nature of MMIs using Confirmatory Factor Analysis (CFA).
  • To gather multiple lines of evidence supporting the internal structure of the MMIs.
  • To establish that the MMIs accurately measure the intended personality constructs.

Main Methods:

  • An a-priori seven-factor model was hypothesized based on essential graduating student attributes.
  • Scenarios were developed to assess these attributes, with a 5-point rating scale used.
  • Confirmatory Factor Analysis (CFA) was performed on data from 259 students.

Main Results:

  • Reliability coefficients (Cronbach's alpha: 0.73-0.94) and item-total correlations were strong.
  • Confirmatory Factor Analysis (CFA) supported a seven-factor model with excellent goodness-of-fit indices (RMSEA=0.05, SRMR<0.08).
  • The CFA confirmed the multi-dimensional nature of the MMIs and their ability to measure intended attributes.

Conclusions:

  • This study provides validity evidence for using MMIs in selecting healthcare candidates based on personality traits.
  • The findings support the multi-dimensional structure of the administered MMIs.
  • Evidence for internal structure demonstrates the independence of the measured constructs.