Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Development of a Measuring Instrument for Korean Nursing Student' Evaluation of the Effect of Simulation Education.

시뮬레이션 교육의 효과 평가를 위한 한국형 간호학생 팀워크 측정도구개발

  • Received : 2017.02.14
  • Accepted : 2017.03.10
  • Published : 2017.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

The aim of this study is to develop a teamwork self-assessment tool for Korean nursing students (K-self assessment of teamwork) to evaluate the effects of simulation education, and to test the validity of the tool. As the research method, data were collected from 185 third- and fourth-year nursing students who had completed emergency simulation practice courses while attending nursing schools at two universities in K region. The collected data were analyzed using such statistical programs as SPSS/WIN 22.0 and AMOS 17.0. A test of the construct validity was conducted using confirmatory factor analysis and explanatory factor analysis. To test the criterion validity of the K-self assessment of teamwork, its correlation with the Mayo High Performance Teamwork Scale (MHPTS) was analyzed using Pearson's correlation coefficients. In addition, of the reliability items, the internal consistency was tested using Chronbach's ${\alpha}$. The results of the study are as follows: The construct validity was demonstrated through the confirmatory factor analysis and explanatory factor analysis. As regards the test of reliability, there was one item for which the reliability of its validity was increased to .937 when a (single/particular) question was removed. However, in the end, no questions were removed, because the correlation coefficient between the questions and the total score was greater than .4. The overall reliability of the K-self assessment tool of teamwork was found to be .934, confirming its reliability. The translated version of the K-self assessment of teamwork developed in this study was also demonstrated to be applicable to domestic settings, in which the teamwork of nursing students can be assessed during simulation education. The results of the use of this tool in the future will be used to assess the effects of simulation education at nursing colleges, and will become the basis of various types of educational programs aimed at improving teamwork in emergency situations.

본 연구의 목적은 시뮬레이션 교육 효과 평가를 위한 한국형 간호학생 팀워크 측정도구(K-self assessment of teamwork)를 개발하고, 개발된 도구의 타당성을 검증하는 것이다. 연구 방법으로는 본 연구의 대상자는 K지역 소재 2개 대학의 간호학과에 재학 중인 응급상황 시뮬레이션 실습수업을 받은 경험이 있는 간호 대학생을 3~4학년 185명을 대상으로 자료 수집을 하였다. 수집된 자료는 SPSS/WIN 22.0과 AMOS 17.0 통계프로그램을 사용하여 분석하였고, 구성타당도 검정은 문항분석, 확인적 요인분석과 탐색적 요인분석을 통해 시행하였다. 또한 K-self assessment of teamwork의 준거타당도 검증을 위하여 Mayo High Performance Teamwork Scale(MHPTS)과의 상관관계를 Pearson's correlation coefficient를 통해 분석하였다. 신뢰도 중 내적 일관성을 검증하기 위하여 Chronbach's ${\alpha}$를 통하여 검정하였다. 연구결과 문항분석, 확인적 요인분석과 탐색적 요인분석을 통해 구성타당도가 입증되었고, 신뢰도 검증 부분에 있어서, 타당도는 문항 제거 시 신뢰도가 높아지는 세 개의 항목이 있었으나 문항-총점 간 상관계수가 .4 이상이어서 제거된 문항은 없었으며 전체 문항의 신뢰도가 .934로 나타나 K-self assessment of teamwork의 신뢰도가 검증되었다. 본 연구를 통해 번역된 K-self assessment of teamwork는 시뮬레이션 교육 중 간호학생의 팀워크를 측정할 수 있는 국내 적용 가능 도구임이 검증되었다. 추후 본 도구를 통해 간호 대학의 시뮬레이션 교육의 효과 평가에 반영하고, 더 나아가 응급상황에서의 팀워크 향상을 위한 다양한 교육 및 프로그램의 초석이 될 것으로 사료된다.

Keywords

References

  1. H. R. Kim, E. Y. Choi, H. Y. Kang. Simulation Module development and team competency evaluation. Journal of Korean Academy of Fundamental of Nursing, 18, pp. 392-400, 2011.
  2. S. M. Lee. Relationships of nurses' teamwork skills to team effectiveness in nursing units. Unpublished master's thesis, Catholic university of Pusan, 2013.
  3. DW Johoson, R Johnson, E Holubec. Circles of learning: Cooperation in the classroom (5th ed.), Edina, Mn: Interaction Book Company. 2002.
  4. K. C. Li., Directions of simulation-based learning in of Korean Academic Society of Nursing Education, 17, pp. 246-256, 2011. DOI: https://doi.org/10.5977/JKASNE.2011.17.2.246
  5. E. E. Suh. Development of a conceptual framework for nursing simulation education utilizing human patient simulators and standardized patients. Journal of Korean Academic Society of Nursing Education, 18, pp. 206-219, 2012. DOI: http://doi.org/10.5977/jkasne.2012.18.2.206
  6. H. R. Kim, E. Y. Choi, H. Y. Kang, S. M. Kim. The Relationship among learning satisfaction, learning attitude, self-efficacy and the nursing students' academic achievement after simulation-based education on emergency nursing care. The Journal of Korean academy Society of Nursing Education, 17(1), pp. 5-13, 2011. https://doi.org/10.5977/JKASNE.2011.17.1.005
  7. C. A. Blum, S. Borglund, D. Parcells. High fidelity nursing simulation: Impact on student self-confidence and clinical competence. International Journal of Nursing Education Scholarship, 7 (1), pp. 1-14, 2010. DOI: http://doi.org/10.2202/1548-923X.2035
  8. A. J. Bland, A. Topping, B. A. Wood. A. Concept analysis of simulation as a learning strategy in the education of undergraduate nursing students. Nurse Education Today, 31, pp. 664-670, 2011. DOI: http://doi.org/10.1016/j.nedt.2010.10.013
  9. J. H. Lee, M. Choi. Evaluation of effects of a clinical reasoning course among undergraduate nursing students. Journal of Korean Academy of Adult Nursing, 23, pp. 1-9, 2011. DOI: http://doi.org/10.7475/kjan.2011.23.1.01
  10. L. Cronenwett, G. Sherwood, J. Barnsteiner, J. Disch, J. Johnson, P. Mitchell, D. T. Sullivan, J. Warren. Quality and safety education for nurses. Nursing Outlook, 55(3), pp. 122-131, 2007. DOI: http://doi.org/10.1016/j.outlook.2007.02.006
  11. Korean Accreditation Board of Nursing Education. Specify the colleges four-year term of study screening. Retrieved January 20, 2014, from Korean Accreditation Board of Nursing Education Web site: http://kabon.or.kr/kabon02/index04.php
  12. L. T. Gantt. Using the clark simulation evaluation rubric with associate degree and baccalaureate nursing students. Nursing Education Perspectives, 31(2), 101-105, 2010.
  13. S. E. Kardong-Edgren, A. R. Starkweather, L. D. Ward. The integration of simulation into a clinical foundations of nursing course: Student and faculty perspectives. International Journal of Nursing Education Scholarship, 5(1), 1-16, 2008. DOI: http://doi.org/10.2202/1548-923X1603
  14. J. Weller, B. Shulruf, J. Torrie, R. Frengley, M. Boyd, A. Paul, B. Yee, P. Dzendrowskl. Validation of a measurement tool for self-assessment of teamwork in intensive care. British Journal of Anaesthesia, 111(3), pp. 460-467, 2013. DOI: https://doi.org/10.1093/bja/aet060
  15. H. E. Tinsley, D. J. Tinsley. Uses of factor analysis in counseling psychology research. Journal of Counseling Psychology, 34, pp. 414-424, 1987. DOI: https://doi.org/10.1037/0022-0167.34.4.414
  16. J. F. Malec, L. C. Torsher, W. F. Dunn, D. A. Wiegmann, J. J. Arnold, D. A. Brown, V. Phatak. The Mayo High Performance Teamwork Scale: Reliability and validity for evaluation key crew resource management skills. Simulation in Healthcare, 2, pp. 4-10, 2007. DOI: https://doi.org/10.1097/SIH.0b013e31802b68ee
  17. M. R. Lynn, Determination and quantification of content validity. Nursing Research, 35(6), pp. 382-385, 1986. DOI: https://doi.org/10.1097/00006199-198611000-00017
  18. JC Nunnally, IH Bernstein. Psychometric theory(3rd ed.). New York: McGraw-Hill, 1994.
  19. J. F. Hair, R. L. Tatham, R. E Anderson, W Black. .Multivariatedata analysis (5th ed.) NewJersey: PrenticeHall INC, 1998.
  20. J. H. Steiger. Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research, 25(2), 173-180, 1990. DOI: https://doi.org/10.1207/s15327906mbr2502_4
  21. J. Tak, Psychological testing, 2nd ed. Seoul: Hakjisa Corp.; 2007.
  22. MA Pett, NR Lackey, JJ Sullivan., Making sense of factor analysis: The use of factor analysis for instrument development in healthcare research, California: Sage, 2003. DOI: https://doi.org/10.4135/9781412984898
  23. S. M. Jahng. Best practices in Exploratory Factor analysis for the Development of the Likert-type Scale, Korean Psychological Association, 34(4), 1079-1100, 2015.
  24. J. E. Ware, K. K Snow, M. Kosinski, B Gandek,. SF-36 health survey: mannual and institute, Bosten, The Health Institute, New Englnad, Medical Center, 1993.
  25. K. S. No. Statistical analysis of thesis writing writing properly. Seoul: Hanbit academy, 2015.
  26. RF DeVellis. Scale Development: Theory and Applications (3rd ed). Thousand Oaks, CA: Sage Publications, 2012.
  27. B. M. Byme. Structural Equation Modeling with LISREL, PRELIS, and SIMPLIS :Basic Concepts, application, and programming Maywah, NJ: Lawrence Earlbaum Associates. 1998.
  28. R. L. Helmreich, J. A. Wilhelm, J. R. Klinect, A. C. Merritt . Culture, error, and crew resource management. In: Salas E, Bowers CA, Edens E, eds. Improving teamwork in organizations. Hillsdale, NJ: Erlbaum. 305-331, 2001.
  29. J. M. Werner, S. W. Lestter., Applying taem effectiveness framework to the performance of student case reams. Human Resource Development Quarterly, 12(4), 385-402, 2001. DOI: https://doi.org/10.1002/hrdq.1004
  30. M. Hoegel, H. G. Gemuenden. Teamwor quality and the success of innovative projects: A theoretical concept and empirical evidence. Organizational Science, 12(4), 435-499, 2001. DOI: https://doi.org/10.1287/orsc.12.4.435.10635
  31. L. R. Tucker, C. Lewis. A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, pp. 1-10, 1973. DOI: https://doi.org/10.1007/BF02291170
  32. P. M. Bentler. Comparative fit indexes in structural models, Psychological Bulletin, 107(2), pp. 238-246, 1990. DOI: https://doi.org/10.1037/0033-2909.107.2.238