J Korean Acad Nurs.  2019 Aug;49(4):411-422. 10.4040/jkan.2019.49.4.411.

Reliability and Validity of Korean Version of Nursing Students' Anxiety and Self-Confidence with Clinical Decision Making Scale

• Yu M
• Eun Y
• White K
• Kang K

• KMID: 2456145
• DOI: http://doi.org/10.4040/jkan.2019.49.4.411

Abstract

PURPOSE
The purpose of this study was to adapt, modify, and validate the Nursing Anxiety and Self-Confidence with Clinical Decision-Making Scale (NASC-CDM©) for Korean nursing students.
METHODS
Participants were 183 nursing students with clinical practice experience in two nursing colleges. The construct validity and reliability of the final Korean version of the NASC-CDM© were examined using exploratory and confirmatory factor analyses and testing of internal consistency reliability. For adaptation and modification, the instrument was translated from English to Korean. Expert review and a cross-sectional survey were used to test the instrument's validity.
RESULTS
The Korean version of the NASC-CDM© (KNASC-CDM) was composed of 23 items divided into four dimensions: (i) Listening fully and using resources to gather information; (ii) Using information to see the big picture; (iii) Knowing and acting; and (iv) Seeking information from clinical instructors. The instrument explained 60.1% of the total variance for self-confidence and 63.1% of the variance for anxiety; Cronbach's α was .93 for self-confidence and .95 for anxiety.
CONCLUSION
The KNASC-CDM can be used to identify anxiety and self-confidence in nursing students' clinical decision-making in Korea. However, further research should be done to test this instrument, as it is classified differently from the original NASC-CDM© version.

Keyword

Anxiety; Clinical Decision-Making; Nursing Students; Reliability and Validity

MeSH Terms

Anxiety*
Clinical Decision-Making*
Cross-Sectional Studies
Humans
Korea
Nursing*
Reproducibility of Results*
Students, Nursing

Reference

References

1. Wang Y, Chien WT, Twinn S. An exploratory study on bacca-laureate‐prepared nurses’ perceptions regarding clinical de-cision‐making in mainland China. Journal of Clinical Nursing. 2012; 21(11-12):1706–1715. https://doi.org/10.1111/j.1365-2702.2011.03925.x.

2. Jenkins HM. A research tool for measuring perceptions of clinical decision making. Journal of Professional Nursing. 1985; 1(4):221–229. https://doi.org/10.1016/S8755-7223(85)80159-9.

3. Baxter PE, Boblin S. Decision making by baccalaureate nursing students in the clinical setting. Journal of Nursing Education. 2008; 47(8):345–350. https://doi.org/10.3928/01484834-20080801-02.

4. Hoffman KA, Aitken LM, Duffield C. A comparison of novice and expert nurses’ cue collection during clinical decision-making: Verbal protocol analysis. International Journal of Nursing Studies. 2009; 46(10):1335–1344. https://doi.org/10.1016/j.ijnurstu.2009.04.001.

5. O’Neill ES, Dluhy NM, Chin E. Modelling novice clinical reasoning for a computerized decision support system. Journal of Advanced Nursing. 2005; 49(1):68–77. https://doi.org/10.1111/j.1365-2648.2004.03265.x.

6. White KA. Development and validation of a tool to measure self-confidence and anxiety in nursing students during clinical decision making. Journal of Nursing Education. 2014; 53(1):14–22. https://doi.org/10.3928/01484834-20131118-05.

7. O’Neill ES, Dluhy NM, Fortier PJ, Michel H. The N-CODES project: The first year. Computers, Informatics, Nursing. 2004; 22(6):345–350.

8. Benner P, Tanner C, Chesla C. From beginner to expert: Gaining a differentiated clinical world in critical care nursing. Advances in Nursing Science. 1992; 14(3):13–28. https://doi.org/10.1097/00012272-199203000-00005.

9. Papa FJ, Shores JH, Meyer S. Effects of pattern matching, pattern discrimination, and experience in the development of diagnostic expertise. Academic Medicine. 1990; 65(9 Sup-pl):S21–S22.

10. Loving GL. The novice nurse experience. The Oklahoma Nurse. 1997; 42(1):3–4.

11. White KA. The development and validation of a tool to measure self-confidence and anxiety in nursing students while making clinical decisions [dissertation]. Las Vegas (NV): University of Nevada;2011. p. 1–291.

12. Jeong ME, Park HS. Effects of case-based learning on clinical decision making and nursing performance in undergraduate nursing students. Journal of Korean Academy Fundamentals of Nursing. 2015; 22(3):308–317. https://doi.org/10.7739/jkafn.2015.22.3.308.

13. Kim SH, Ham YS. A meta-analysis of the effect of simulation based education - Korean nurses and nursing students -. The Journal of Korean Academic Society of Nursing Education. 2015; 21(3):308–319. https://doi.org/10.5977/jkasne.2015.21.3.308.

14. Gover VF. The development and testing of a nursing performance simulation instrument [dissertation]. Chapel Hill (NC): University of North Carolina;1971. p. 1–210.

15. Rhodes B. Occupational ideology and clinical decision-making in British nursing. International Journal of Nursing Studies. 1985; 22(3):241–257. https://doi.org/10.1016/0020-7489(85)90007-0.

16. Lauri S, Salanterä S. Developing an instrument to measure and describe clinical decision making in different nursing fields. Journal of Professional Nursing. 2002; 18(2):93–100. https://doi.org/10.1053/jpnu.2002.32344.

17. Sherer M, Maddux JE, Mercandante B, Prentice-Dunn S, Jacobs B, Rogers RW. The self-efficacy scale: Construction and validation. Psychological Reports. 1982; 51(2):663–671. https://doi.org/10.2466/pr0.1982.51.2.663.

18. Chae SI. Research methods in the social sciences. 3rd ed. Paju: Hakhyunsa;2005. p. 1–530.

19. Oh HS. Health promoting behaviors and quality of life of Korean women with arthritis. The Journal of Nurses Academic Society. 1993; 23(4):617–630. https://doi.org/10.4040/jnas.1993.23.4.617.

20. Spielberger CD. Anxiety: State-trait process. Spielberger CD, Sarason IG, editors. Stress and Anxiety. Washington D.C.: Hemisphere Publishing Corporation;1975. p. 115–143.

21. Kim JT, Shin DK. A study based on the standardization of the STAI for Korea. The New Medical Journal. 1978; 21(11):69–75.

22. World Health Organization (WHO). Process of translation and adaptation of instruments [Internet]. Geneva: WHO;c2015. [cited 2015 Mar 13]. Available from:. http://www.who.int/sub-stance_abuse/research_tools/translation/en/.

23. Kang H. A guide on the use of factor analysis in the assessment of construct validity. Journal of Korean Academy of Nursing. 2013; 43(5):587–594. https://doi.org/10.4040/jkan.2013.43.5.587.

24. Pett MA, Lackey NR, Sullivan JJ. Making sense of factor analysis: The use of factor analysis for instrument development in health care research. Thousand Oaks (CA): Sage;2003. p. 232–233.

25. DeVellis RF. Scale development: Theory and applications. 4th ed. Thousand Oaks (CA): Sage;2016. p. 111–147.

26. Kim WP. Rewriting statistical analysis: Advanced regression analysis. Seoul: Wise in Company;2017. p. 1–426.

27. Cho MH, Kwon IS. A study on the clinical practice experiences on nursing activities of nursing students. The Journal of Korean Academic Society of Nursing Education. 2007; 13(2):143–154.

28. Kown IS, Seo YM. Nursing students’ needs for clinical nursing education. The Journal of Korean Academic Society of Nursing Education. 2012; 18(1):25–33. https://doi.org/10.5977/jkasne.2012.18.1.025.

29. Lee K, Shin S. Validity of instrument development research in Korean nursing research. Journal of Korean Academy of Nursing. 2013; 43(6):697–703. https://doi.org/10.4040/jkan.2013.43.6.697.

30. Park S, Kwon IG. Factors influencing nurses’ clinical decision making: Focusing on critical thinking disposition. Journal of Korean Academy of Nursing. 2007; 37(6):863–871. https://doi.org/10.4040/jkan.2007.37.6.863.