SHARP (SHort Answer, Rationale Provision): A New Item Format to Assess Clinical Reasoning.

Problem: Many non-workplace-based assessments do not provide good evidence of a learner's problem representation or ability to provide a rationale for a clinical decision they have made. Exceptions include assessment formats that require resource-intensive administration and scoring. This article reports on research efforts toward building a scalable non-workplace-based assessment format that was specifically developed to capture evidence of a learner's ability to justify a clinical decision.

"Cephalgia" or "migraine"? Solving the headache of assessing clinical reasoning using natural language processing.

In this op-ed, we discuss the advantages of leveraging natural language processing (NLP) in the assessment of clinical reasoning. Clinical reasoning is a complex competency that cannot be easily assessed using multiple-choice questions. Constructed-response assessments can more directly measure important aspects of a learner's clinical reasoning ability, but substantial resources are necessary for their use.

Exploring the Validity Based on Internal Structure of the Oldenburg Burnout Inventory - Medical Student (OLBI-MS).

Construct: The study gathers validity evidence for the use of the Oldenburg Burnout Inventory - Medical Student (OLBI-MS), a 16-item scale used to measure medical student burnout. The 16 items on the OLBI-MS are split to form two subscales, disengagement and exhaustion.

Background: Medical student burnout has been empirically linked to several detrimental professional and personal consequences.

Cut-Score Operating Function Extensions: Penalty-Based Errors and Uncertainty in Standard Settings.

We model pass/fail examinations aiming to provide a systematic tool to minimize classification errors. We use the method of cut-score operating functions to generate specific cut-scores on the basis of minimizing several important misclassification measures. The goal of this research is to examine the combined effects of a known distribution of examinee abilities and uncertainty in the standard setting on the optimal choice of the cut-score.

One Size Doesn't Fit All: Using Factor Analysis to Gather Validity Evidence When Using Surveys in Your Research.

Across all sciences, the quality of measurements is important. Survey measurements are only appropriate for use when researchers have validity evidence within their particular context. Yet, this step is frequently skipped or is not reported in educational research.