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For empirically validating the theoretically assumed structural model for CCER (RQ1) and for examining the test instrument's quality (RQ2), the written students' exams were analyzed using psychometric models belonging to the IRT.
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Differences in examination grade, bonus question score and corrected examination score were compared between user groups using a one-way analysis of variance with LSD post-hoc test The effect of the app on the risk to fail for the final exam was analyzed using binary logistic regression analysis.
Quantitative data from the clinical case scenarios, physical exam, and knowledge tests were analyzed using STATA 11.0 [ 10].
Data were analyzed using the χ2 test.
Videos were analyzed using specific software (Qontrast, Esaote, Italy) to generate time-intensity curves for each exam.
Images were analyzed using Gap Light Analyzer41.
Data were analyzed using one-way ANOVA.
Data were analyzed using Prism 5.0 (GraphPad Software).
Plates were analyzed using a Molecular Devices ImageXpress High-Content Analysis SysteMolecular Devices ImageXpress High-Content
Differentially expressed genes were analyzed using edgeR54.
Data were analyzed using GraphPad Prism version 6.0 (RRID:SCR_015807).
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