Journal of Convergence for Information Technology (융합정보논문지)

Convergence Society for SMB (중소기업융합학회)
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Feasibility and Reliability Analysis of Convergent Job Measurement Tool for Elementary School Health Teachers

초등학교 보건교사를 위한 융복합적 직무측정도구의 타당도와 신뢰도 분석

  • Lee, Mi Joon (Department of Innovation Healthcare Planning, Kangbuk Samsung Hospital)
  • 이미준 (강북삼성병원 미래헬스케어팀)
  • Received : 2019.08.02
  • Accepted : 2019.09.20
  • Published : 2019.09.27
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Abstract

This study aims to evaluate of validity and reliability of the job performance tool already developed for the elementary school health teachers. 305 health teachers responded to the questionnaire composed of 50 items. The validity and reliability of the tool were verified by confirmatory factor analysis. That were composed of 8 sub-categories and had 4 factors. The importance, frequency, and difficulty of the four factors were classified according to the questionnaire criteria, but the importance of health promotion is classified as one new item factor. The statistical significance of the fit of the model was 3.664 (df = 246, p<0.001), RMSEA=0.09, NFI=0.85 and CFI=0.88. The internal consistency of the subscales was Cronbach's ${\alpha}$ of 0.88 to 0.96. The internal consistency of the subscales, Cronbach's ${\alpha}$ was 0.88~0.96. This study shows that the analysis tool for primary school health teacher is valid and reliable as a measurement tool.

본 연구는 초등학교 보건교사를 대상으로 이미 개발된 직무분석의 측정도구에 대한 구성타당도와 신뢰도를 확인하기 위한 연구이다. 초등학교 보건교사 305명을 대상으로 50문항으로 구성된 직무분석 설문지를 사용하여 확인적 요인분석을 통해 이미 개발된 도구의 구성타당도와 신뢰도를 재검증하였다. 총 50문항은 8개의 하위척도로 구성되었으며, 4개의 요인구조를 가지고 있었다. 4개의 요인구조는 설문 기준에 따라 중요도, 수행빈도, 난이도로 분류되었으나, 중요도는 건강증진에 대한 중요도가 하나의 새로운 항목 요인으로 분류되었다. 모델의 적합도는 ${\chi}^2$ 검정결과 통계량은 3.664 (df=246, p<0.001), RMSEA=0.09, NFI=0.85, CFI=0.88로 나타났다. 하위척도의 내적일치도 Cronbach's ${\alpha}$는 0.88~0.96이었다. 본 연구를 통해 초등학교 보건교사의 직무분석 도구는 측정 도구로 타당하고 신뢰성 있는 도구임을 확인하였다.

Keywords

References

  1. K. S. Park & E. K. Bae. (2012). A delphi study of developing competency model for Korean health teachers. Journal of Korean Society of School Health, 25(1), 1-13
  2. Korea Ministry of Government Legislation. (2017). National health promotion act. http://www.law.go.kr/%EB%B2%95%EB%A0%B9/%EA%B5%AD%EB%AF%BC%EA%B1%B4%EA%B0%95%EC%A6%9D%EC%A7%84%EB%B2%95/(14777,20170418)
  3. Korea Ministry of Government Legislation. (2018). School health act. http://www.law.go.kr/LSW//lsInfoP.do?lsiSeq=202897&efYd=20180928#0000
  4. Y. I. Kim, K. Y. Lee & E. O. Park. (2005). A survey on health promotion programs and needs in schools. Journal of Korean Society of School Health, 18(2), 1-13.
  5. H. J. Park, H. J. Cho, C. R. Yi, Y. J. Park & H. W. Kim. (2008). Job analysis for improvement of school health (CR2008-70-03). Seoul: Korean Educational Development Institute.
  6. K. O. Oh, M. H. Gang & S. H. Lee. (2012). Perceived occupational stress and depression of school nurses. Journal of Korean Public Health Nursing, 26(1), 60-71. https://doi.org/10.5932/JKPHN.2012.26.1.060
  7. J. A. Oh & J. O. Kwon. (2010). Job identity and job stress on elementary school health teachers. Journal of Korean Academy of Community Health Nursing, 21(3), 341-350. https://doi.org/10.12799/jkachn.2010.21.3.341
  8. C. R. Yi & H. D. Song. (2014). DACUM job analysis on elementary health teachers' roles. Journal of Korean Academy of Community Health Nursing, 25(3), 187-197. https://doi.org/10.12799/jkachn.2014.25.3.187
  9. M. Y. Im & S. Y. Lee. (2014). Job analysis of school health teachers in Korea : based on DACUM job analysis. Journal of Korean Public Health Nursing, 28(3), 619-632. https://doi.org/10.5932/JKPHN.2014.28.3.619
  10. R. E. Norton. (1997). DACUM handbook. Columbus, OH: Ohio State University.
  11. B. G. Tabachnick & L. S. Fidell. (2007). Using multivariate statistics. Boston: Pearson/Allyn & Bacon.
  12. S. Cheng, K. R. Lee & S. J. Lee. (2017). Study on Chinese repurchase intention of group-buying social commerce: the moderating role of shopping habit. Journal of the Korea Convergence Society, 8(2), 169-181. DOI : 10.15207/JKCS.2017.8.2.169.
  13. R. A. Spreng, S. B. MacKenzie & R. W. Olshavsky. (1996). A reexamination of the determinants of consumer satisfaction. Journal of Marketing Research, 60(3), 15-32. DOI : 10.1177/002224299606000302
  14. K. S. Kim. (2004). AMOS analysis structural equation modeling. Seoul: Data Solution.
  15. K. K. Kim, B. Yun & M. S. Jeon. (2011). The effects of school health teachers' self-efficacy on job satisfaction. Journal of Educational Research, 9(2), 22-42.
  16. P. M. Bentler & D. G. Bonett. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588-606. https://doi.org/10.1037/0033-2909.88.3.588
  17. J. Hair, R. Anderson, R. Tatham & W. Black. (1998). Multivariate data analysis. New Jersey: Prentice Hall.
  18. K. Schermelleh-Engel, H. Moosbrugger & H. Muller. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodnessof-fit measures. Methods of Psychological Research Online, 8(2), 23-74.
  19. L. R. Tucker & C. Lewis. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38(1), 1-10. DOI : 10.1007/bf02291170
  20. L. Hu & P. M. Bentler. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. DOI : 10.1080/10705519909540118
  21. J. P. Woo. (2012). Concept and understanding of structural equation modeling. Seoul: Hannarae Publishing.
  22. E. S, Ju. (2018). Validity and Reliability of fatigue measurement tool for Korean nurses. Journal of the Korea Convergence Society, 8(2), 67-75. DOI : 10.22156/CS4SMB.2018.8.2.067.
  23. S. G. Abbas, A. Farah & C. Apkinar-Sposito. (2013). Measuring the immeasurable: An overview of stress and strain measuring instruments. Mediterranean Journal of Social Sciences, 4(10), 480-489.