DOI QR코드

DOI QR Code

탐색적요인분석과 확인적요인분석의 비교에 과한 연구

The Study on the comparative analysis of EFA and CFA

  • 최창호 (한성대학교 지식서비스&컨설팅학과) ;
  • 유연우 (한성대학교 지식서비스&컨설팅학과)
  • Choi, Chang Ho (Dept. of Knowledge Service & Consulting, Hansung University) ;
  • You, Yen Yoo (Dept. of Knowledge Service & Consulting, Hansung University)
  • 투고 : 2017.07.26
  • 심사 : 2017.10.20
  • 발행 : 2017.10.28

초록

본 연구는 탐색적 요인분석과 확인적 요인분석에 대한 특성과 그 차이점에 대하여 살펴보고, 동일한 데이터를 활용하여 탐색적 요인분석과 확인적 요인분석의 분석과정 및 결과를 비교분석함으로써 두 방법론의 올바른 이해와 적용에 대하여 알아보고자 한다. 한편, 실증분석 결과는 아래와 같다. 탐색적 요인분석에서는 판별타당도가 저해되는 p.1, p.3이 제거된 반면, 확인적 요인분에서는 집중타당도가 저해되는 p.3가 제거 되었다. 탐색적 요인분석의 경우 다수의 측정변수를 소수의 요인으로 축약하는 분석과정(다소 부족한 이론적배경)인 반면, 확인적 요인분석은 측정변수와 잠재변수들 간의 관계를 파악 및 확인하는 과정(강력한 이론적배경)으로 동일한 데이터를 활용한다 하더라도 두 방법론은 언제든지 다른 결과 값이 도출될 수 있는 바, 데이터의 성격 등에 따라 올바른 방법론의 활용이 요구된다는 시사점을 보여주고 있다.

This study was performed with a view to examine the nature and difference of EFA(Exploratory Factor Analysis) and CFA(Confirmatory Factor Analysis), and to compare the analysis process and result of EFA and CFA with the same data. The result of empirical analysis was as follows. Meanwhile, p.1, p.3 was removed owing to hampering the convergent validity in EFA, p.3 was removed owing to hampering the discriminent validity in CFA. EFA was reduction process of muti measurement variables to a few factor, but CFA was understanding and confirmatory process of measurement and latent variables' relation. Eventually, this study showed that EFA and CFA used different methology, thus the different outcomes appeared although using the same data, and implicated resonable application of methology according to given data.

키워드

참고문헌

  1. Hun-Yeong Lee, "The Research Methodology", Cunng Ram, 2015.
  2. Chang-Ho, Choi, " The study on comparative analysis of the same data through regression analysis model and structural equation model", Journal of the Korea Convergence Society, Vol. 14, No. 6, pp. 167-175, 2016.
  3. Chang-Ho, Choi, " The study on the different moderation effect of contingency variable(Focused on SPSS statistics and AMOS program)l", Journal of the Korea Convergence Society, Vol. 15, No. 2, pp. 1-10, 2017.
  4. Jong-Pil Woo, "The concept and understanding of structural equation model", Hannare, 2012.
  5. Byeong-Ryeol Bae, "Structural Equation Modeling with AMOS 17.0", Cunng Ram, 2009.
  6. Woo-Ho Kim, Bo-Jun Seo, "A Study on the Parents' Recognition of School Enterprise Convergence by Type of Disability", Journal of the Korea Convergence Society, Vol. 6, No. 4, pp. 89-97, 2015. https://doi.org/10.15207/JKCS.2015.6.4.089
  7. Jong-Sik Lim, Chun-Ho Yang, "Relationship between Sports Confidence and Class Satisfaction according to Adolescents' Participation Marine Sports", Journal of the Korea Convergence Society, Vol. 6, No. 4, pp. 169-176, 2015. https://doi.org/10.15207/JKCS.2015.6.4.169
  8. Ji-Won Lee, Kyung-Hee Kang, "Study about the relationship between self-esteem, depression and stress of students according to school system", Journal of the Korea Convergence Society, Vol. 5, No. 4, pp. 69-74, 2014. https://doi.org/10.15207/JKCS.2014.5.4.069
  9. Mi-Jin Kim, Gyun-Young Kang, "The convergence study on the relationship between the job stress and mental health of nurses", Journal of the Korea Convergence Society, Vol. 6, No. 5, pp. 39-47, 2015. https://doi.org/10.15207/JKCS.2015.6.5.039
  10. Chang-Ho, Choi, " A study on the effects of ties and trust relationship between the clients and consultants on the consulting performance", Journal of the Korea Convergence Society, Vol. 12 No. 10, pp. 86-97, 2014.
  11. Stapleton, C. D. "Basic concepts and procedures of confirmatory factor analysis", Paper presented at the annual meeting of the Southwest Educational Research Association, Austin, TX, January, pp.23-25, 1997.
  12. Van Prooijen, J.-W.,& Van der Kloot, W.A, "Confirmatory analysis of exploratively obtained factor structures", Educational and Psychological Measurement, Vol. 61, No. 5, pp. 777-792, 2001. https://doi.org/10.1177/00131640121971518
  13. Il-Hyen, Lee, "Easy Flow Regression Analysis", Hannare, 2012.
  14. Hair, J.F.Jr., Black, W.C., Babin, B.J., Anderson, R.E., & Tatham, R.E., "Multivariate data Analysis(6th ed.)", Upper Saddle River, NJ: Pearson Prentice Hall, 2006.
  15. Bagozzi, R.P., & Yi,Y, "On the evaluation of structural equation models", Journal of the Academy of Marketing Science, Vol. 16, No. 1, pp. 74-94, 1988. https://doi.org/10.1007/BF02723327
  16. Fornell, C., & Larcker, D.F, "Evaluating structural equation models with unobservable variables and measurement error", Journal of Marketing Research, Vol. 18, No. 1, pp. 39-50, 1981. https://doi.org/10.2307/3151312