Screening reading comprehension in adults : development and initial evaluation of a reading comprehension measure

Reading comprehension in adults is a rather neglected variable in the practice of psychological assessment. We propose a new screening instrument for adult reading comprehension based on a pragmatic definition of reading comprehension as the textual understanding of the text read. Using data from a calibration sample (n = 266) and a replication sample (n = 148) for cross-validation, we tested the model fit for the 1-PL model (Rasch-model; graphic model test, Anderson’s Conditional Likelihood-Ratio test). Model fit was established and verified in the replication sample after the stepwise exclusion of three (out of 16) items. Correlations with a test for memory and the external criterion reading proficiency were in the expected direction. The comparison of a sub-group of putatively highly skilled readers (n = 59; University students and lecturers) and putatively low skilled readers (n = 122; participants undergoing psychological assessment for having their driving license reinstated after a ban) showed that a percent rank < 10 in the measure might indicate insufficient reading skills for practical purposes. Pending further research, the instrument seems to be a useful instrument for the screening of reading comprehension skills in adults

Do virtual patients prepare medical students for the real world? Development and application of a framework to compare a virtual patient collection with population data

Background: An important aspect of virtual patients (VPs), which are interactive computer-based patient scenarios, is authenticity. This includes design aspects, but also how a VP collection represents a patient population and how a patient is presented in a VP scenario. Therefore, our aim was to analyze VP scenarios integrated into the combined internal medicine and surgery curriculum at the University of Munich (LMU) and compare the results with data from the population in Germany. Method: We developed a coding framework with four main categories: patient data, patient representation, diagnoses, and setting. Based on the framework we analyzed 66 VP and compared the results with data from the German healthcare system. Results: Especially in the categories of patient data and patient representation, the VPs presented an unrealistic image of the real world;topics such as unemployment, disability, or migration background were almost non-existent. The diagnoses of the VPs and the onset of diseases were comparable with the healthcare data. Conclusions: An explanation for the lack of representativeness of the patient data and representation might be a trend to create VPs based on fictional patient stories with VP authors trying to minimize complexity and cognitive load for the students. We suggest raising awareness among VP authors concerning personalized representations of patients without overwhelming their students. Our framework can support educators to assess the authenticity and diversity of a VP collection