Evaluation of Situational Judgment Tests in student selection in Indonesia and the impact on diversity issues

Abstract

Background: Internationally, medical selection relies heavily on prior academic attainment which has an adverse impact on the diversity of selected students. Since non-academic attributes are also important, this study aims to evaluate the use of a Situational Judgment Test (SJT) for selection and the impact on student diversity relating to gender, ethnicity and socio-economic status. Previous SJT research has almost entirely originated from a Western context and this study focuses on new evidence in a South East Asian context with a different demographic profile. Methods: Thirty faculty members developed 112 SJT scenarios assessing professionalism, communication and self-awareness domains. The scenarios underwent a concordance stage where stakeholder input was sought on the content appropriateness, to define the item scoring key, followed by an initial psychometric evaluation with first and second year medical students (N = 436). Based on these results, 30 scenarios, consisting of 128 nested items, were selected for pilot testing and evaluation regarding diversity issues with two cohorts of applicants in 2017 (N = 446) and 2018 (N = 508). Results: The SJT demonstrated good internal consistency (Cronbach’s alpha of 0.80 and 0.81 respectively). There were significant differences in SJT scores based on gender in both years, where females consistently outperformed males (p =.0001). However, no significant differences were found based on high school origin, parental educational background or ethnicity. Conclusions: This is the first study to evaluate the use of an SJT in Indonesia, which has a unique diversity profile compared to Western countries. Largely, the preliminary results replicate previous studies of the potential diversity benefits of using an SJT as a tool for medical student selection and has the potential to level the playing field regarding socio-economic status and ethnicity. Further studies exploring more variables representing diversity are warranted to confirm the early results in this study.