Simulation Research Rubric: Further Analysis of Published Simulation Studies and Future Implications

Autor: Teresa Atz, Amy Daniels, Suzanne Hetzel Campbell, Bette Mariani, Donna Gloe, Carrie Miller, Mary K. Fey, Trisha Leann Horsley
Rok vydání: 2020
Předmět:
Zdroj: Clinical Simulation in Nursing. 48:89-93
ISSN: 1876-1399
DOI: 10.1016/j.ecns.2020.08.013
Popis: Background Rigorous simulation-based research is essential to advance the science of nursing education. This article outlines the use of the updated Simulation Research Rubric (SRR) to assess the quality of published simulation research articles. Methods The SRR was used to rate 73 published articles in the Clinical Simulation in Nursing from 2015 to 2017. All articles were reviewed and rated by two reviewers. Results Of the 73 articles reviewed, 15 (20.5%) received a rating of excellent (76%-100%), 39 (53.4%) were rated as good (51%-75%), and 19 (26%) were rated as fair (26%-50%). Inter-rater reliability was 0.92, with a content validity index of 0.95 for the SRR. Conclusions The strengths and weaknesses of two years of published simulation-based research reports were identified. Although the SRR was not intended to be used to evaluate research itself, the rubric can be used as a framework to develop a thorough research proposal, for rating grant proposals, and for teaching students how to critique written research reports.
Databáze: OpenAIRE