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Journal of Nursing Education, 2015;54(5):249–260
Published Online:https://doi.org/10.3928/01484834-20150417-02Cited by:18

Abstract

Background:

Education of future nurses benefits from well-designed simulation activities. Skillful teaching with simulation requires educators to be constantly aware of how students experience learning and perceive educators’ actions. Because revision of simulation activities considers feedback elicited from students, it is crucial to understand the perspective from which students base their response.

Method:

In a Q-methodological approach, 45 nursing students rank-ordered 60 opinion statements about simulation design into a distribution grid.

Results:

Factor analysis revealed that nursing students hold five distinct and uniquely personal perspectives—Let Me Show You, Stand By Me, The Agony of Defeat, Let Me Think It Through, and I’m Engaging and So Should You.

Conclusion:

Results suggest that nurse educators need to reaffirm that students clearly understand the purpose of each simulation activity. Nurse educators should incorporate presimulation assignments to optimize learning and help allay anxiety. The five perspectives discovered in this study can serve as a tool to discern individual students’ learning needs. [J Nurs Educ. 2015;54(5):249–260.]

  • Altmann E.M., Trafton J.G., Hambrick D.Z. (2014). Momentary interruptions can derail the train of thought. Journal of Experimental Psychology: General, 143, 215–226.10.1037/a0030986

    Crossref MedlineGoogle Scholar
  • Benner P., Sutphen M., Leonard V., Day L. (2010). Educating nurses: A call for radical transformation. San Francisco, CA: Jossey-Bass.

    Google Scholar
  • Bland A., Topping A., Wood B. (2010). A concept analysis of simulation as a learning strategy in the education of undergraduate nursing students. Nurse Education Today, 31, 664–670.10.1016/j.nedt.2010.10.013

    Crossref MedlineGoogle Scholar
  • Brookfield S. (2006). The skillful teacher: On technique, trust, and responsiveness in the classroom (2nd ed.). San Francisco, CA: Jossey-Bass.

    Google Scholar
  • Brown S. (1980). Political subjectivity: Applications of Q methodology in political science. New Haven, CT: Yale University Press.

    Google Scholar
  • Brumby D.P., Cox A.L., Back J., Gould S.J.J. (2013). Recovering from an interruption: Investigating speed-accuracy trade-offs in task resumption behavior. Journal of Experimental Psychology: Applied, 19, 95–107.10.1037/a0032696

    Crossref MedlineGoogle Scholar
  • Cant R., Cooper S. (2009). Simulation-based learning in nurse education: Systematic review. Journal of Advanced Nursing, 66, 3–15.10.1111/j.1365-2648.2009.05240.x

    CrossrefGoogle Scholar
  • Cordeau M. (2010). The lived experience of clinical simulation of novice nursing students. International Journal for Human Caring, 14(2), 9–15.

    CrossrefGoogle Scholar
  • Elfrink V.L., Nininger J., Rohig L., Lee J. (2009). The case for group planning in human patient simulation. Nursing Education Perspectives, 30, 83–86.

    MedlineGoogle Scholar
  • Ganley B.J., Linnard-Palmer L. (2012). Academic safety during nursing simulation: Perceptions of nursing students and faculty. Clinical Simulation in Nursing, 8(2), e49–e57.10.1016/j.ecns.2010.06.004

    CrossrefGoogle Scholar
  • Groom J.A., Henderson D., Sittner B.J. (2014). NLN/Jeffries Simulation Framework State of the Science project: Simulation design characteristics. Clinical Simulation in Nursing, 10, 377–344.10.1016/j.ecns.2013.02.004

    CrossrefGoogle Scholar
  • Grundgeiger T., Sanderson P., MacDougall H.G., Venkatesh B. (2010). Interruption management in the intensive care unit: Predicting resumption times and assessing distributed support. Journal of Experimental Psychology: Applied, 16, 317–334.10.1037/a0021912

    Crossref MedlineGoogle Scholar
  • Institute of Medicine. (2010). The future of nursing: Leading change, advancing health. Washington, DC: National Academies Press.

    Google Scholar
  • Ironside P., Jeffries P. (2010). Using multiple-patient simulation experiences to foster clinical judgment. Journal of Nursing Regulation, 1(2), 38–41.

    CrossrefGoogle Scholar
  • Issenberg S.B., McGaghie W.C., Petrusa E.R., Lee Gordon D., Scalese R.J. (2005). Features and uses of high-fidelity medical simulations that lead to effective learning: A BEME systematic review. Medical Teacher, 27(1), 10–28.10.1080/01421590500046924

    Crossref MedlineGoogle Scholar
  • Jeffries P. (Ed.). (2012). Simulation in nursing education: From conceptualization to evaluation (2nd ed.). New York, NY: National League for Nursing.

    Google Scholar
  • Kelly M., Hager P., Gallagher R. (2014). What matters most? Students’ rankings of simulation components that contribute to clinical judgment. Journal of Nursing Education, 53, 97–101.10.3928/01484834-20140122-08

    LinkGoogle Scholar
  • Kneebone R. (2005). Evaluating clinical simulations for learning procedural skills: A theory-based approach. Academic Medicine, 80, 549–553.10.1097/00001888-200506000-00006

    Crossref MedlineGoogle Scholar
  • Lapkin S., Levett-Jones T., Bellchambers H., Fernandez R. (2010). Effectiveness of patient simulation manikins in teaching clinical reasoning skills to undergraduate nursing students: A systematic review. Clinical Simulation in Nursing, 6, e207–e222.10.1016/j.ecns.2010.05.005

    CrossrefGoogle Scholar
  • Le Couteur A., Delfabbro P. (2001). Repertoires of teaching and learning: A comparison of university teachers and students using Q methodology. Higher Education, 42, 205–235.10.1023/A:1017583516646

    CrossrefGoogle Scholar
  • McKeown B., Thomas D. (2013). Q methodology (2nd ed.). Los Angeles, CA: Sage.10.4135/9781483384412

    CrossrefGoogle Scholar
  • McNelis A., Ironside P., Ebright P., Dreifuerst K., Zvonar S., Conner S. (2014). Learning nursing practice: A multisite, multimethod investigation of clinical education. Journal of Nursing Regulation, 4(4), 30–35.

    CrossrefGoogle Scholar
  • Nielsen B., Harder N. (2013). Causes of student anxiety during simulation: What the literature says. Clinical Simulation in Nursing, 9, e507–e512.10.1016/j.ecns.2013.03.003

    CrossrefGoogle Scholar
  • National Student Nurses Association. (2012). Home page. Retrieved from http://www.nsna.org/default.aspx

    Google Scholar
  • Paige J.B. (2013). Simulation design characteristics: Perspectives held by nurse educators and nursing students (Doctoral dissertation). Available from ProQuest Dissertations and Theses database. (UMI No. 3614774)

    Google Scholar
  • Paige J.B., Morin K.H. (2014). Q-sample construction: A critical step for a Q-methodological study. Western Journal of Nursing Research. Advance online publication.10.1177/0193945914545177

    Crossref MedlineGoogle Scholar
  • Parker B., 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
  • Pratt D.D. (1998). Five perspectives on teaching in adult and higher education. Malabar, FL: Krieger.

    Google Scholar
  • Robinson B.K., Dearmon V. (2013). Evidence-based nursing education: Effective use of instructional design and simulated learning environments to enhance knowledge transfer in undergraduate nursing students. Journal of Professional Nursing, 29, 203–209.10.1016/j.profnurs.2012.04.022

    Crossref MedlineGoogle Scholar
  • Sando C.R., Coggins R.M., Meakim C., Franklin A.E., Gloe D., Boese T., Borum J. (2013). Standards of best practice: Simulation standard VII: Participant assessment and evaluation. Clinical Simulation in Nursing, 9(6, Suppl.), S30–S32.10.1016/j.ecns.2013.04.007

    CrossrefGoogle Scholar
  • Schiavenato M. (2009). Reevaluating simulation in nursing education: Beyond the human patient simulator. Journal of Nursing Education, 48, 388–394.10.3928/01484834-20090615-06

    LinkGoogle Scholar
  • Schmolck P. (2012). PQMethod software. Kent, OH: Kent State University. Retrieved from http://schmolck.userweb.mwn.de/qmethod/

    Google Scholar
  • Sportsman S., Schumacker R.E., Hamilton P. (2011). Evaluating the impact of scenario-based high-fidelity patient simulation on academic metrics of student success. Nursing Education Perspectives, 32, 259–265.10.5480/1536-5026-32.4.259

    Crossref MedlineGoogle Scholar
  • Stephenson W. (1953). The study of behavior: Q-technique and its methodology. Chicago, IL: University of Chicago Press.

    Google Scholar
  • Watts S., Stenner P. (2012). Doing Q methodological research: Theory, method and interpretation. London, UK: Sage.

    Google Scholar
  • Waxman K.T. (2010). The development of evidence-based clinical simulation scenarios: Guidelines for nurse educators. Journal of Nursing Education, 49, 29–35.10.3928/01484834-20090916-07

    LinkGoogle Scholar
  • Woods C.E. (2011). Using Q methodology to explore leadership: The role of the school business manager. International Journal of Leadership in Education: Theory and Practice, 14, 317–335.10.1080/13603124.2010.507877

    CrossrefGoogle Scholar

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