DOI QR코드

DOI QR Code

A Methodological Quality Assessment of South Korean Nursing Research using Structural Equation Modeling in South Korea

국내 간호학 학회지에 출판된 구조방정식모형 연구의 방법론적 질 평가

  • Kim, Jung-Hee (Department of Nursing, College of Health Sciences, Dankook University) ;
  • Shin, Sujin (Department of Nursing, College of Medicine, Soonchunhyang University) ;
  • Park, Jin-Hwa (College of Nursing.The Research Institute of Nursing Science, Catholic University of Daegu)
  • 김정희 (단국대학교 간호학과) ;
  • 신수진 (순천향대학교 간호학과) ;
  • 박진화 (대구가톨릭대학교 간호대학.간호과학연구소)
  • Received : 2014.08.22
  • Accepted : 2015.02.23
  • Published : 2015.04.30

Abstract

Purpose: The purpose of this study was to evaluate the methodological quality of nursing studies using structural equation modeling in Korea. Methods: Databases of KISS, DBPIA, and National Assembly Library up to March 2014 were searched using the MeSH terms 'nursing', 'structure', 'model'. A total of 152 studies were screened. After removal of duplicates and non-relevant titles, 61 papers were read in full. Results: Of the sixty-one articles retrieved, 14 studies were published between 1992 and 2000, 27, between 2001 and 2010, and 20, between 2011 and March 2014. The methodological quality of the review examined varied considerably. Conclusion: The findings of this study suggest that more rigorous research is necessary to address theoretical identification, two indicator rule, distribution of sample, treatment of missing values, mediator effect, discriminant validity, convergent validity, post hoc model modification, equivalent models issues, and alternative models issues should be undergone. Further research with robust consistent methodological study designs from model identification to model respecification is needed to improve the validity of the research.

Keywords

References

  1. Martens MP. The use of structural equation modeling in counseling psychology research. The Counseling Psychologist. 2005;33(3):269-298. http://dx.doi.org/10.1177/0011000004272260
  2. Mueller RO. Structural equation modeling: Back to basics. Structural Equation Modeling. 1997;4(4):353-369. http://dx.doi.org/10.1080/10705519709540081
  3. Kim J, Hong S, Choo B. Applications of structural equation modeling in management studies: A critical review. Korean Management Review. 2007;36(4):897-923.
  4. Lee GS, Yom YH. Structural equation modeling on life-world integration in people with severe burns. Asian Nursing Research. 2013;7(3):112-119. http://dx.doi.org/10.1016/j.anr.2013.06.003
  5. Kline RB. Principles and practice of structural equation modeling. 3rd ed. New York, NY: Guilford Press; 2011.
  6. Lim NY, Kang HS, Lee SE, Suh YO, Kwon YE. The trend of Korean nursing research with the LISREL. Journal of Korean Academy of Nursing. 2001;31(2):221-231. https://doi.org/10.4040/jkan.2001.31.2.221
  7. Weston R. A brief guide to structural equation modeling. The Counseling Psychologist. 2006;34(5):719-751. http://dx.doi.org/10.1177/0011000006286345
  8. Baumgartner H, Homburg C. Applications of structural equation modeling in marketing and consumer research: A review. International Journal of Research in Marketing. 1996;13(2):139-161. http://dx.doi.org/10.1016/0167-8116(95)00038-0
  9. Boomsma A. Reporting analyses of covariance structures. Structural Equation Modeling. 2009;7(3):461-483. http://dx.doi.org/10.1207/S15328007SEM0703_6
  10. Breckler SJ. Applications of covariance structure modeling in psychology: Cause for concern? Psychological Bulletin. 1990;107(2):260-273. https://doi.org/10.1037/0033-2909.107.2.260
  11. Hoyle RH, Panter AT. Writing about structural equation models. In: Hoyle RH, editor. Structural equation modeling: Concepts, issues, and applications. Thousand Oaks, CA: Sage; 1995. p. 158-176.
  12. MacCallum RC, Austin JT. Applications of structural equation modeling in psychological research. Annual Review of Psychology. 2000;51: 201-226. http://dx.doi.org/10.1146/annurev.psych.51.1.201
  13. McDonald RP, Ho MH. Principles and practice in reporting structural equation analyses. Psychological Methods. 2002;7(1):64-82. https://doi.org/10.1037/1082-989X.7.1.64
  14. Raykov T, Tomer A, Nesselroade JR. Reporting structural equation modeling results in psychology and aging: Some proposed guidelines. Psychology and Aging. 1991;6(4):499-503. https://doi.org/10.1037/0882-7974.6.4.499
  15. Steiger JH. Driving fast in reverse: The relationship between software development, theory, and education in structural equation modeling. Journal of the American Statistical Association. 2001;96(453):331-338. https://doi.org/10.1198/016214501750332893
  16. Cho HD. A study on issues of using structure equation modeling in education study [master's thesis]. Seoul: Korea University; 2011.
  17. Bentler PM, Chou CP. Practical issues in structural modeling. In: Long JS, editor. Common problems/proper solutions: Avoiding error in survey research. Newbury Park, CA: Sage; 1988. p. 161-192.
  18. Moon SB. Basic concepts and applications of structural equation modeling with AMOS 17.0. Seoul: Hakjisa; 2009.
  19. Yu JP. The misunderstanding and prejudice of structural equation models. Seoul: Hannare Publishing Co.; 2014.
  20. Holbert RL, Stephenson MT. Structural equation modeling in the communication sciences, 1995-000. Human Communication Research. 2002;28(4):531-551. http://dx.doi.org/10.1111/j.1468-2958.2002.tb00822.x
  21. Shook CL, Ketchen DJ, Jr., Hult GTM, Kacmar KM. An assessment of the use of structural equation modeling in strategic management research. Strategic Management Journal. 2004;25(4):397-404. http://dx.doi.org/10.1002/smj.385
  22. Polit DF, Beck CT, Owen SV. Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Research in Nursing and Health. 2007;30(4):459-467. http://dx.doi.org/10.1002/nur.20199
  23. Kim KMJ, Cha YN, Jang HS, Han HS, Chung JS, Yoon J, et al. NANDA nursing diagnosis, goals and interventions. Seoul: Hyunmoon; 2013.
  24. Chen F, Bollen KA, Paxton P, Curran PJ, Kirby JB. Improper solutions in structural equation models: Causes, consequences and strategies. Sociological Methods and Research. 2001;29(4):468-508. http://dx.doi.org/10.1177/0049124101029004003
  25. Joeskog KG, Sobom D. LISREL 7: A guide to the program and applications. 2nd ed. Chicago, IL: SPSS Inc.; 1989.
  26. Mitchell RJ. Path analysis: Pollination. In: Scheiner SM, Gurevitch J, editors. Design and analysis of ecological experiments. 2nd ed. New York, NY: Chapman and Hall; 1993. p. 211-231.
  27. Arbuckle JL. Full information estimation in the presence of incomplete data. In: Marcoulides GA, Schumacker RE, editors. Advanced structural equation modeling: Issues and techniques. Mahwah, NJ: Lawrence Erlbaum Associates; 1996.
  28. Enders CK, Bandalos DL. The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling. 2001;8(3):430-457. http://dx.doi.org/10.1207/S15328007SEM0803_5
  29. Schreiber JB. Core reporting practices in structural equation modeling. Research in Social and Administrative Pharmacy. 2008;4(2):83-97. http://dx.doi.org/10.1016/j.sapharm.2007.04.003

Cited by

  1. 한국판 의료인용 제퍼슨 공감측정도구의 간호사 대상 타당화 연구 vol.46, pp.2, 2015, https://doi.org/10.4040/jkan.2016.46.2.207
  2. Convergent Influence of Ego-Resilience, Nunchi and Self-Leadership on Communication Competency among Students in Health Majors in Studying for TOEIC vol.17, pp.6, 2015, https://doi.org/10.14400/jdc.2019.17.6.229
  3. 남성 독거노인의 삶의 질 예측모형 vol.50, pp.6, 2015, https://doi.org/10.4040/jkan.20087
  4. Quality of Life Structural Equation Model for Patients With Amyotrophic Lateral Sclerosis vol.46, pp.5, 2015, https://doi.org/10.1097/rnj.0000000000000292