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Published Online:https://doi.org/10.3928/01484834-20170712-05Cited by:1

Abstract

Background:

Simulation is used in nursing curricula to augment or replace the traditional clinical practice experiences. Studies reported varying attitudes of nursing students to simulation-based learning. The aim of this study was to conduct an exploratory factor analysis of the Attitudes of Nursing Students to Simulation-Based Learning scale to be used to explore the nursing students' attitudes related to simulation.

Method:

Data were collected online from 217 nursing students at a U.S. college of nursing and health from February to May 2015. Item analysis and exploratory factor analysis were performed.

Results:

The results showed that the 17-item scale consisted of two factors: clinical competency and effectiveness of the simulation-based learning. The Cronbach's alpha reliability of the scale was .91 and .90 for factor one and .70 for factor two.

Conclusion:

The new scale can be used to measure nursing students' attitudes toward simulation. [J Nurs Educ. 2017;56(8):471–476.]

  • Al-Ghareeb A.Z., Cooper S.J. (2016). Barriers and enablers to the use of high-fidelity patient simulation manikins in nurse education: An integrative review. Nurse Education Today, 36, 281–286.10.1016/j.nedt.2015.08.005

    Crossref MedlineGoogle Scholar
  • Badir A., Zeybekoğlu Z., Karacay P., Göktepe N., Topcu S., Yalcin B., Oban G. (2015). Using high-fidelity simulation as a learning strategy in an undergraduate intensive care course. Nurse Education Today, 40, e1–e6.10.1097/NNE.0000000000000134

    CrossrefGoogle Scholar
  • Bambini D., Washburn J., Perkins R. (2009). Outcomes of clinical simulation for novice nursing students: Communication, confidence, clinical judgment. Nursing Education Perspectives, 30, 79–82.

    MedlineGoogle Scholar
  • Beebe R.I. (2012). Relationship between fidelity and dose of human patient simulation, critical thinking skills, and knowledge in an associate degree nursing program [Doctoral dissertation]. West Virginia University. Retrieved from Proquest. (3538233)

    CrossrefGoogle Scholar
  • Beischel K.P. (2013). Variables affecting learning in a simulation experience: A mixed methods study. Western Journal of Nursing Research, 35, 226–227.10.1177/0193945911408444

    Crossref MedlineGoogle Scholar
  • Benner P. (1982). From novice to expert. American Journal of Nursing, 82, 402–407.

    MedlineGoogle Scholar
  • Blesch P. (2015). Can spiritual care be taught via simulation?Journal of Christian Nursing, 32, 232–235.10.1097/CNJ.0000000000000204

    Crossref MedlineGoogle Scholar
  • Blum C.A., Borglund S., Parcells D. (2010). High-fidelity nursing simulation: Impact on student self-confidence and clinical competence. International Journal of Nursing Education Scholarship, 7, 1–43.10.2202/1548-923X.2035

    CrossrefGoogle Scholar
  • Broussard L. (2008). Simulation-based learning: How simulators help nurses improve clinical skills and preserve patient safety. Nursing For Women's Health, 12, 521–524.10.1111/j.1751-486X.2008.00386.x

    Crossref MedlineGoogle Scholar
  • Cattell R.B. (1978). The scientific use of factor analysis in behavioral and life sciences. New York, NY: Springer.10.1007/978-1-4684-2262-7

    CrossrefGoogle Scholar
  • Cook D.A., Brydges R., Zendejas B., Hamstra S.J., Hatala R. (2013). Mastery learning for health professionals using technology-enhanced simulation: A systematic review and meta-analysis. Academic Medicine, 8, 1178–1186. http://dx.doi.org/10.1097/ACM.0b013e31829a365d10.1097/ACM.0b013e31829a365d

    CrossrefGoogle Scholar
  • Cook D.A., Hamstra S.J., Brydges R., Zendejas B., Szostek J.H, Wang A.T., Hatala R. (2012). Comparative effectiveness of instructional design features in simulation-based education: Systematic review and meta-analysis. Medical Teacher, 35, e844–e875.

    Google Scholar
  • Decker S., Sportsman S., Puetz L., Billings L. (2008). The evolution of simulation and its contribution to competency. The Journal Continuing Education Nursing, 39, 74–80.10.3928/00220124-20080201-06

    LinkGoogle Scholar
  • Durham C.F., Cato M.L., Lasater K. (2014). NLN/Jeffries simulation framework state of the science project: Participant construct. Clinical Simulation in Nursing, 10, 363–372.10.1016/j.ecns.2014.04.002

    CrossrefGoogle Scholar
  • Fitzpatrick J.J., Kazer M.W. (2012). Encyclopedia of nursing research. New York, NY: Springer.

    Google Scholar
  • Good M.L. (2003). Patient simulation for training basic and advanced clinical skills. Medical Education, 37(Suppl. 1), S14–S21.10.1046/j.1365-2923.37.s1.6.x

    Crossref MedlineGoogle Scholar
  • Ha E.H. (2014). Attitudes toward video-assisted debriefing after simulation in undergraduate nursing students: An application of Q methodology. Nurse Education Today, 34, 978–984.10.1016/j.nedt.2014.01.003

    Crossref MedlineGoogle Scholar
  • Hayden K.J., Smiley A.R., Alexander M., Kardong-Edgren S., Jeffries R.P. (2014). The NCSBN national simulation study: A longitudinal, randomized, controlled study replacing clinical hours with simulation in prelicensure nursing education. Journal of Nursing Regulation, 5(2), S3–S40.10.1016/S2155-8256(15)30062-4

    CrossrefGoogle Scholar
  • Hayes C., Power T., Davidson P.M., Daly J., Jackson D. (2015). Nurse interrupted: Development of a realistic medication administration simulation for undergraduate nurses. Nurse Education Today, 35, 981–986.10.1016/j.nedt.2015.07.002

    Crossref MedlineGoogle Scholar
  • Ironside P.M., McNelis A.M. (2010). Clinical education in prelicensure nursing programs: Findings from a national survey. Nursing Education Perspectives, 31, 264–265.

    MedlineGoogle Scholar
  • Jarvis M., Rivers J. (2014). Campus clinical: Simulation-based curriculum designed to meet clinical course learning outcomes. Nurse Educator, 39, 179–183.10.1097/NNE.0000000000000045

    Crossref MedlineGoogle Scholar
  • Jeffries P.R. (2005). A framework for designing, implementing, and evaluating simulations used as teaching strategies in nursing. Nursing Education Perspectives, 26, 96–103.

    MedlineGoogle Scholar
  • Kable K.A., Arthur C., Levett-Jones T., Reid-Searl K. (2013). Student evaluation of simulation in undergraduate nursing programs in Australia using quality indicators. Nursing and Health Sciences, 15, 235–243.10.1111/nhs.12025

    Crossref MedlineGoogle Scholar
  • Kennedy C.C., Maldonado F., Cook D.A. (2013). Simulation-based bronchoscopy training: Systematic review and meta-analysis. Chest, 144, 183–192.10.1378/chest.12-1786

    Crossref MedlineGoogle Scholar
  • Liana E. (2012). Singing about popsicles: How to estimate your population. Retrieved from https://www.surveymonkey.com/blog/2012/10/02/how-to-estimate-your-population/

    Google Scholar
  • Lorenzo-Seva U., Ferrando P.J. (2006). FACTOR: A computer program to fit the exploratory factor analysis model. Behavior Research Methods, 38, 88–91.10.3758/BF03192753

    Crossref MedlineGoogle Scholar
  • Lucas A.N. (2014). Promoting continuing competence and confidence in nurses through high-fidelity simulation-based learning. The Journal of Continuing Education in Nursing, 45, 360–365.10.3928/00220124-20140716-02

    LinkGoogle Scholar
  • Mariani B., Cantrell M.A., Meakim C. (2014). Nurse educators' perceptions about structured debriefing in clinical simulation. Nursing Education Perspectives, 35, 330–331.10.5480/13-1190.1

    Crossref MedlineGoogle Scholar
  • Maxson P.M., Dozois E.J., Holubar S.D., Wrobleski D.M., Dube J.A, Klipfel J.M., Arnold J.J. (2011). Enhancing nurse and physician collaboration in clinical decision making through high-fidelity interdisciplinary simulation training. Mayo Clinic Proceedings, 86, 31–36.10.4065/mcp.2010.0282

    Crossref MedlineGoogle Scholar
  • Nagle B.M., McHale J.M., Alexander G.A., French B.M. (2009). Incorporating scenario-based simulation into a hospital nursing education program. The Journal of Continuing Education in Nursing, 40, 18–25.10.3928/00220124-20090101-02

    LinkGoogle Scholar
  • Nicholson L.L. (2012). The transformational learning process of nursing students during simulated clinical experiences [Doctoral dissertation]. D'Youville College. Retrieved from ProQuest. (3537521)

    Google Scholar
  • O'Donnell M.J., Decker S., Howard V., Levett-Jones T., Miller W.C. (2014). NLN/Jeffries simulation framework state of the science project: Simulation learning outcomes. Clinical Simulation in Nursing, 10, 373–382.10.1016/j.ecns.2014.06.004

    CrossrefGoogle Scholar
  • Oguz A. (2012). Developing a scale for attitudes towards the curriculum development and instruction course. Educational Sciences: Theory & Practice, 12(2), 854–860.

    Google Scholar
  • Parker B.C., Myrick F. (2012). The pedagogical ebb and flow of human patient simulation: Empowering through a process of fading support. Journal of Nursing Education, 51, 365–372.10.3928/01484834-20120509-01

    LinkGoogle Scholar
  • Smith A., Siassakos D., Crofts J., Draycott T. (2013). Simulation: Improving patient outcomes. Seminars in Perinatology, 37, 151–156.10.1053/j.semperi.2013.02.005

    Crossref MedlineGoogle Scholar
  • Walton J., Chute E., Ball L. (2011). Negotiating the role of the professional nurse. The pedagogy of simulation: A grounded theory study. Journal of Professional Nursing, 27, 299–310.10.1016/j.profnurs.2011.04.005

    Crossref MedlineGoogle Scholar
  • Yeun E.J., Bang H.Y., Ryoo E.N., Ha E. (2014). Attitudes toward simulation-based learning in nursing students: An application of Q methodology. Nurse Education Today, 34, 1062–1068.10.1016/j.nedt.2014.02.008

    Crossref MedlineGoogle Scholar
  • Yong A.G., Pearce S. (2013). Beginner's guide to factor analysis: Focusing on exploratory factor analysis. Tutorials in Quantitative Methods for Psychology, 9, 79–94.10.20982/tqmp.09.2.p079

    CrossrefGoogle Scholar

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