Related Experiment Video
Updated: May 11, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
Published on: August 29, 2025
What counts as validity evidence? Examples and prevalence in a systematic review of simulation-based assessment
David A Cook1, Benjamin Zendejas, Stanley J Hamstra
1Office of Education Research, Mayo Medical School, Rochester, MN, USA, cook.david33@mayo.edu.
None:
Ongoing transformations in health professions education underscore the need for valid and reliable assessment. The current standard for assessment validation requires evidence from five sources: content, response process, internal structure, relations with other variables, and consequences. However, researchers remain uncertain regarding the types of data that contribute to each evidence source. We sought to enumerate the validity evidence sources and supporting data elements for assessments using technology-enhanced simulation. We conducted a systematic literature search including MEDLINE, ERIC, and Scopus through May 2011. We included original research that evaluated the validity of simulation-based assessment scores using two or more evidence sources. Working in duplicate, we abstracted information on the prevalence of each evidence source and the underlying data elements. Among 217 eligible studies only six (3 %) referenced the five-source framework, and 51 (24 %) made no reference to any validity framework. The most common evidence sources and data elements were: relations with other variables (94 % of studies; reported most often as variation in simulator scores across training levels), internal structure (76 %; supported by reliability data or item analysis), and content (63 %; reported as expert panels or modification of existing instruments). Evidence of response process and consequences were each present in <10 % of studies. We conclude that relations with training level appear to be overrepresented in this field, while evidence of consequences and response process are infrequently reported. Validation science will be improved as educators use established frameworks to collect and interpret evidence from the full spectrum of possible sources and elements.
Related Concept Videos
Data Validation
Nursing assessment guides are generally based on holistic models rather than medical...
Data Validation
Key parameters for method validation include:
Reliability and Validity
Formulating and Validating Nursing Diagnosis II
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Surveys