
Specialty Choice Inventory (SCI-45)
The Joint Centre for Education in Medicine at the British Postgraduate Medical Federation asked me when at Goldsmiths College London in 1998 to develop a new questionnaire designed to match medical students to an appropriate choice of specialty.
Following the usual qualitative test construction, design, pilot and item analysis phases of psychometric test development, the resultant questionnaire, the Specialty Choice Inventory (SCI-45), was incorporated into a computer program that provided for online administration, scoring and report writing.
The SCI-45 contains 130 statements about aspects of a medical career, each with 4 response categories, and on the basis of the candidates responses applies a scoring algorithm and builds a profile of the respondent that matches that profile to 45 medical specialties. This enables the user to find the best fit and offer advice on career choice or guide a selection panel to the areas of questioning when there is some disparity.
The SCI-45 was published in 2002 in Medical Education 36(7) by Rodney Gale and Janet Grant.
The Purpose of the SCI-45 in 2002
The original purpose of the SCI-45 was to aid in the shortlisting of candidates for interview and guide the interview panel towards important areas of match or mismatch between the candidate’s profile and that desired. Selection panels can use the derived profiles and add particular local requirements. However, it also subsequently proved to be of considerable benefit to medical students themselves in identifying an appropriate specialty choice.
The SCL45 is essentially a career choice questionnaire that has many similarities to other psychometric instruments used by careers advisors, in both schools and universities, as well as by recruitment consultants and online careers advice websites. However the application of this methodology within medical education does have particular challenges. Firstly, every medical student needs to make a choice, and needs to be informed of their options in a clear and consistant way. However, it is at the same time unwise to overlook demographic factors – where are these jobs; am I willing to move to remote areas; how will this specialty look ten or twenty years down the line? The demographics of medical specialties is extremely dynamic, and there are so many of them! It is also a challenge to the test designers and item analysts. Factor analysis is helpful, but needs to be applied with care.