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Updated: Oct 16, 2025

Simulator Training for Endovascular Neurosurgery

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

A Quantitative Research Study Protocol to Advance Simulation Science in Nursing Education.

Mary Ann Cantrell¹, Bette Mariani, Evelyn Lengetti

¹About the Authors The authors are faculty at M. Louise Fitzpatrick College of Nursing, Villanova University, Villanova, Pennsylvania. Mary Ann Cantrell, PhD, RN, CNE, ANEF, FAAN, is a professor and director, PhD Program. Bette Mariani, PhD, RN, ANEF, is vice dean for academic affairs and associate professor. Evelyn Lengetti, PhD, RN-BC, is assistant dean of continuing education. This research was supported by a National League for Nursing Ruth Donnelly Corcoran Research Award and by the Center for Research, M. Louise Fitzpatrick College of Nursing. Dr. Mariani, Nursing Education Perspectives Research Brief editor, did not participate in the review or decision for this article. For more information, contact Dr. Cantrell at mary.ann.cantrell@villanova.edu.

Nursing Education Perspectives

|October 15, 2021

Summary

This study outlines a rigorous quantitative simulation protocol to address methodological weaknesses in current research. Adopting this protocol will advance simulation science and improve the quality of future studies.

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Area of Science:

Simulation Science
Nursing Education Research

Background:

Existing quantitative simulation studies often suffer from poor conceptualization, weak study design, and inadequate outcome measurement.
Small sample sizes and a general lack of methodological rigor have been identified as significant limitations in simulation research.

Purpose of the Study:

To describe a quantitative simulation study protocol designed for high-level, rigorous research.
To identify critical methodological considerations essential for conducting robust quantitative simulation studies.

Main Methods:

The protocol development integrated research priorities from key organizations in simulation science and nursing education.
It adhered to published best practice standards for simulation research.
Employed psychometrically sound instruments and focused on outcomes relevant to cognitive and simulation science.

Main Results:

A multisite, longitudinal study protocol was developed.
The protocol was guided by the integrative model of clinical judgment.
It emphasized high intervention fidelity to accurately measure clinical judgment and clinical competence.

Conclusions:

Rigorous study protocols are essential for the advancement of simulation science.
The described protocol serves as a model for future high-quality quantitative simulation research.