Related Experiment Video
Updated: Feb 6, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
Published on: March 1, 2022
Multiple mini interviews: revealing similarities across institutions
Barbara Griffin1, Jaime Auton2, Robbert Duvivier2
1Dept of Psychology, Macquarie University, Sydney, Australia. Barbara.griffin@mq.edu.au.
Background:
Across the globe multiple mini interviews (MMIs) have rapidly replaced the use of panel interviews in the selection of medical students and other health professionals. MMIs typically demonstrate better reliability and validity than panel interviews but there is limited research on whether these different types of interview process measure the same or different constructs. Our research aims to ascertain if MMIs are multidimensional or unidimensional, and whether MMIs conducted at different institutions assess the same or different constructs to each other or to panel interviews.
Methods:
Participants were applicants to medical degrees who were shortlisted for interviews at three different institutions in 2013 (n = 165) and 2014 (n = 128). Two institutions used a bespoke MMI developed independently from each other and the third used a panel interview. Stations scores and overall (mean) interview scores were examined.
Results:
Exploratory principal components analysis and confirmatory factor analysis showed similar results in both years' data, supporting a unidimensional model. The two overall MMI scores were more strongly correlated to each other (r = .56 and .64 in 2013 and 2014 respectively) than either were to the panel interview scores (r = .07 and .15 in 2013; .39 and .48 in 2014).
Conclusions:
It appears that both MMIs panel interviews tap a single latent construct, but not the same construct. We suggest that the MMI methodology might allow the measurement of an emergent construct such as adaptability.
Related Concept Videos
Causes of Similarity-Dissimilarity Effect
Factors Influencing Attraction III: Similarity
Multiple Allele Traits
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Multiple Voltage Sources
In series, the positive terminal of one battery is connected to the negative terminal of another battery. Hence, the voltage of each battery is added to give the net voltage, which is increased because each battery boosts the electrons that enter it. The same current flows through each battery because they are connected in series.
Batteries are...
Deformation of Member under Multiple Loadings
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...

