Developing a Situational Judgement Test to Assess Clinical Judgement in Fourth-Year Medical Students: A Pilot Study

Introduction Assessing clinical judgement objectively and economically presents a challenge in academic medicine. The authors developed a situational judgement test (SJT) to measure fourth-year medical students' clinical judgement. Methods A knowledge-based, single-best-answer SJT was developed by a panel of subject matter experts (SMEs). The SJT included 30 scenarios, each with five response options ranked ordinally from most to least appropriate. A computer-based format was used, and the SJT was piloted by two cohorts of fourth-year medical students at California University of Science and Medicine in 2022 and 2023 upon completion of an internship preparation course. Subsequently, students completed an optional survey. Evaluated scoring methods included original ordinal ranking, dichotomous, dichotomous with negative correction, distance from SME best answer, and distance from SME best answer squared. Results The SJT was completed by 142 fourth-year medical students. Cronbach's alpha ranged from 0.39 to 0.85, depending on the scoring method used. The distance-from-SME-best-answer-squared method yielded the highest internal consistency, which was considered acceptable. Using this scoring method, the mean score was 72.89 (SD = 48.32, range = 26-417), and the standard error of measurement was 18.41. Item analysis found that seven (23%) scenarios were of average difficulty, 13 (43%) had a good or satisfactory discrimination index, and nine (30%) had a distractor efficiency of at least 66%. Most students preferred the SJT to a traditional multiple-choice exam (16; 62%) and felt it was an appropriate tool to assess clinical judgement (15; 58%). Conclusions The authors developed and piloted an SJT to assess clinical judgement among medical students. Although not achieving validation, subsequent development of the SJT will focus on expanding the SME concordance panel, improving difficulty and discrimination indices, and conducting parallel forms reliability and adverse impact analyses.