Related Experiment Video
Updated: May 7, 2026

Using Learning Outcome Measures to assess Doctoral Nursing Education
Published on: June 21, 2010
Teaching raters to see: A faculty development innovation for robust assessment in health professions education
Lon Setnik1, Yoon Soo Park2, Clément Buleon3,4,5
1Center for Medical Simulation, 100 First Avenue Suite 400, Boston, MA, 02129, USA. lsetnik@harvardmedsim.org.
Abstract:
Trustworthy simulation-based assessment depends on capable raters-but current approaches to rater training are often resource-intensive, inconsistently effective, and conceptually muddled. In practice, many programs focus on delivering training activities (e.g., frame-of-reference or behavioral observation training) without a clear model of the steps that build reliable, trustworthy assessments.We clarify the pathway to reliable, trustworthy assessment skills by distinguishing rater cognition-the cognitive work of recognizing, interpreting, and judging performance-from rater training, the educational processes intended to develop that capability. Rating is not a mechanical act of applying a rubric; it is a skilled perceptual and interpretive process. As we argue, a rubric does not do the seeing for you. While rubrics externalize expert judgment, raters must be trained to recognize and apply that expertise-learning to distinguish observable data from inference and to "see through the eyes of the rubric." Traditional rater training approaches can be reframed as mechanisms that build this underlying cognitive skill.Building on this conceptual clarification, we introduce a staged learning framework for rater readiness. Rather than treating training as a one-time intervention, we propose that raters must be prepared developmentally: first through foundational deliberate practice, then through situational application, and finally through expert-facilitated calibration and ongoing feedback.We illustrate this model through a pilot of an interactive, technology-enabled, partially asynchronous rater training program for the Advocacy-Inquiry Rubric. This pilot shows how simulation programs can greatly reduce the time required from experts to train raters, while also demonstrating feasibility, strong usability, and promising reliability outcomes.
Related Concept Videos
Data Validation
Nursing assessment guides are generally based on holistic models rather than medical...
Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning,...
Nursing Evaluation
Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
