| 英文摘要 |
The objective structured clinical examination (OSCE) has become an acceptable method for evaluating clinical skills in healthcare settings. However, none of the current literature were seen using visualization plots to compare individual OSCE performances. We obtained data from 29 medical students who participated in OSCE examinations in 12 stations in 2018. The continuous Rasch model (CRM) was applied to estimate person measures and standard errors (SE). The characteristics of the percentage CRM were interpreted in comparison to the other two counterparts (i.e., binary and mixed scenarios). Forest plots frequently used in Meta-Analysis were drawn to display those 29 examinees and five subgroups. We used online CRM to draw forest plots and observed that (1) the binary scenario has the wider range in measures, followed by the mixed scenario. The percentage mode as expected has narrower ranges in person abilities (from -0.42 to 0.38) and item difficulties (from -0.48 to 0.41) owing to smaller total raw scores when compared to the other two counterparts; (2) all OSCE performances of medical students do not deviate from the middle line with zero logits; (3) The students in Taipei Medical University outperformed other schools among the five subgroups. We designed two online computer module for (1) estimating person measures and SEs, and (2) drawing forest plots to display the OSCE performance sheets for Taiwan medical students, which helps hospitals evaluate OSCE performances for students efficiently and objectively, but such results are not limited to medical students in the future. |