Literature DB >> 34841207

Family Medicine Clerkship Assessment Analysis: Application and Implications.

Anna Virani1, Sarah E Stumbar1, Rodolfo Bonnin1.   

Abstract

INTRODUCTION: Clerkship assessment structures should consist of a systematic process that includes information from exam and assignment data to legitimize student grades and achievement. Analyzing student performance across assessments, rather than on a single assignment, provides a more accurate picture to identify academically at-risk students. This paper presents the development and implications of a structured approach to assessment analysis for the Family Medicine Clerkship at Florida International University Herbert Wertheim College of Medicine.
METHODS: The assessment analysis included a table presenting the distribution of all assessment performance results for 166 clerkship students from April 2018 to June 2019. A correlation table showed linear relationships between performance on all graded activities. We conducted a Pearson analysis (r), coefficient of determination (r 2), multiple regression analysis, and reliability of performance analysis.
RESULTS: Performance on one assessment-the core skills quiz-yielded a statistically significant correlation (r=.409, r 2= .16, P<.001) with the final clerkship grade. The reliability of performance analyses showed low performers (<-1.7 SD), had both a low mean quiz score (59.6) and final grade (83). Top performers (>-1.7 SD) had both a high mean quiz score (88.5) and final grade (99.6). This was confirmed by multiple regression analysis.
CONCLUSION: The assessment analysis revealed a strong linear relationship between the core skills quiz and final grade; this relationship did not exist for other assignments. In response to the assessment analysis, the clerkship adjusted the grading weight of its assignments to reflect their utility in differentiating academic performance and implemented faculty development regarding grading for multiple assignments.
© 2021 by the Society of Teachers of Family Medicine.

Entities:  

Year:  2021        PMID: 34841207      PMCID: PMC8612593          DOI: 10.22454/PRiMER.2021.915080

Source DB:  PubMed          Journal:  PRiMER        ISSN: 2575-7873


  9 in total

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  9 in total

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