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Related Concept Videos

Self-Report Tests of Personality01:22

Self-Report Tests of Personality

Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
McNemar's Test01:23

McNemar's Test

McNemar's Test is a nonparametric statistical test used to determine if there is a significant difference in proportions between two related groups when the outcome is binary (e.g., yes/no, success/failure). It is beneficial when we have paired data, such as pre-test/post-test designs, where the same subjects are measured under two different conditions. The test is named after the statistician Quinn McNemar, who introduced it in 1947. It is commonly used in situations where subjects are...
Cochran's Q Test01:17

Cochran's Q Test

Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square distribution,...
Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...

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Related Experiment Video

Updated: Jun 28, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

The acceptability of the multiple mini interview for resident selection.

Marianna Hofmeister1, Jocelyn Lockyer, Rod Crutcher

  • 1University of Calgary, Health Research Centre, Calgary, Alberta. mlhofmei@ucalgary.ca

Family Medicine
|November 4, 2008
PubMed
Summary
This summary is machine-generated.

The multiple mini interview (MMI) is an acceptable and fair assessment tool for international medical graduate (IMG) applicants seeking family medicine residency positions in Alberta. Both applicants and interviewers found the MMI process satisfactory and unbiased.

Related Experiment Videos

Last Updated: Jun 28, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Area of Science:

  • Medical Education
  • Residency Selection
  • Professionalism Assessment

Background:

  • International medical graduates (IMGs) require structured integration into Canadian residency programs.
  • Alberta's International Medical Graduate Program (AIMGP) facilitates IMG entry into family medicine training.
  • Assessing non-cognitive traits is crucial for IMG residency selection.

Purpose of the Study:

  • To describe and assess the acceptability of the multiple mini interview (MMI) for IMG applicants and interviewers in Alberta family medicine residency.
  • To evaluate the MMI's effectiveness in identifying professionalism potential.
  • To determine if the MMI process is perceived as fair and unbiased.

Main Methods:

  • Developed a 12-station MMI based on literature review and expert consultation.
  • Used clinical scenarios relevant to Canadian family medicine.
  • Assessed applicant and interviewer acceptability via posttest surveys.
  • Analyzed quantitative data with descriptive statistics and qualitative data with content analysis.

Main Results:

  • Evidence supports high acceptability of the MMI by both IMG applicants and interviewers.
  • Interviewers were satisfied with the time-efficient process and its relevance to Canadian family medicine.
  • Applicants and interviewers found the 8-minute station time adequate.
  • Applicants perceived the MMI as free from gender and cultural bias.
  • Interviewers considered the MMI a fair assessment of family medicine potential.

Conclusions:

  • Standardized residency interviews, like the MMI, can effectively measure professionalism characteristics.
  • The MMI is an acceptable and fair selection method for IMG family medicine applicants.
  • Adaptation of MMI for IMG selection aligns with Canadian medical training needs.