Validation and perception of a key feature problem examination in neurology

Autoři: Meike Grumer aff001;  Peter Brüstle aff002;  Johann Lambeck aff001;  Silke Biller aff002;  Jochen Brich aff001
Působiště autorů: Department of Neurology and Neuroscience, Medical Center, University of Freiburg, Freiburg, Germany aff001;  Center of Competence for the Evaluation of Teaching in Medicine Baden-Württemberg, Albert-Ludwigs-University Freiburg, Freiburg, Germany aff002
Vyšlo v časopise: PLoS ONE 14(10)
Kategorie: Research Article



To validate a newly-developed Key Feature Problem Examination (KFPE) in neurology, and to examine how it is perceived by students.


We have developed a formative KFPE containing 12 key feature problems and 44 key feature items. The key feature problems covered four typical clinical situations. The items were presented in short- and long-menu question formats. Third- and fourth-year medical students undergoing the Neurology Course at our department participated in this study. The students' perception of the KFPE was assessed via a questionnaire. Students also had to pass a summative multiple-choice question examination (MCQE) containing 39 Type-A questions. All key feature and multiple-choice questions were classified using a modified Bloom’s taxonomy.


The results from 81 KFPE participants were analyzed. The average score was 6.7/12 points. Cronbach’s alpha for the 12 key-feature problems was 0.53. Item difficulty level scores were between 0.39 and 0.77, and item-total correlations between 0.05 and 0.36. Thirty-two key feature items of the KFPE were categorized as testers of comprehension, application and problem-solving, and 12 questions as testers of knowledge (MCQE: 15 comprehension and 24 knowledge, respectively). Overall correlations between the KFPE and the MCQE were intermediate. The KFPE was perceived well by the students.


Adherence to previously-established principles enables the creation of a valid KFPE in the field of Neurology.

Klíčová slova:

Human learning – Lectures – Reasoning – Statistical distributions – Taxonomy – Teachers – Universities – Reasoning skills


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