Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Utilization of R Program for the Partial Least Square Model: Comparison of SmartPLS and R

부분최소제곱모형을 위한 R 프로그램의 활용: SmartPLS와 R의 비교

  • Kim, Yong-Tae (Dept. of Applied Statistics, Dankook University) ;
  • Lee, Sang-Jun (Dept. of Liberal Education, Semyung University)
  • 김용태 (단국대학교 응용통계학과) ;
  • 이상준 (세명대학교 교양과정부)
  • Received : 2015.10.27
  • Accepted : 2015.12.20
  • Published : 2015.12.28
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Abstract

As the acceptance of statistical analysis has been increased because of Big Data, the needs for an advanced second generation of statistical analysis method like Structural Equation Model are also increasing. This study suggests how R-Program, as open software, can be utilized when Partial Least Square Model, one of the SEMs, is applied to statistical analysis. R is a free software as a part of GNU projects as well as a powerful and useful tool for statistical analysis including Big Data. The study utilized R and SmartPLS, a representative statistical package of PLS-SEM, and analyzed internal consistency reliability, convergent validity, and discriminant validity of the measurement model. The study also analyzed path coefficients and moderator effects of the structural model and compared the results, respectively. The results indicated that R showed the same results with SmartPLS on the measurement model and the structural model. Therefore, the study confirmed that R could be a powerful tool that is alternative to a commercial statistical package in the future.

빅데이터로 인해 통계분석에 대한 수용이 증대되면서 구조방정식모형과 같은 진보된 2세대 분석방법의 필요성이 증가하고 있다. 본 연구는 다양한 연구 분야에서 이용되는 구조방정식모형 중 부분최소제곱모형(PLS-SEM)을 적용하는데 있어 오픈 소프트웨어인 R의 활용방법에 대해서 제안하고자 한다. R은 GNU 프로젝트의 일부로서 무료이고, 빅데이터를 포함한 통계분석에 강력하면서도 유용한 도구이다. 이에 부분최소제곱모형의 대표적인 통계패키지인 SmartPLS와 본 연구가 제안하는 R을 활용하여 측정모형의 집중타당성, 판별타당성, 내적일관성을 분석하고, 구조 모형의 경로계수 및 조절효과를 분석하여 결과를 각각 비교 분석하였다. 분석결과 R은 측정모형과 구조모형에서 모두 SmartPLS와 동일한 결과를 나타내었고, 향후 상용 통계패키지를 대체할 수 있는 강력한 도구임을 확인하였다.

Keywords

References

  1. J. F. Hair Jr, G. T. M. Hult, C. Ringle, and M. Sarstedt, "A Primer on Partial Least Squares Structural Equation Modeling(PLS-SEM)", Sage Publications, 2013.
  2. W. W. Chin, "The Partial Least Squares Approach to Structural Equation Modeling", Modern Methods for Business Research, Vol. 295, No. 2, pp. 295-336, 1998.
  3. J. F. Hair, C. M. Ringle, and M. Sarstedt, "PLS-SEM: Indeed a Silver Bullet", Journal of Marketing Theory and Practice, Vol. 19, No. 2, pp. 139-152, 2011. https://doi.org/10.2753/MTP1069-6679190202
  4. M. Haenlein and A. M. Kaplan, "A Beginner's Guide to Partial Least Squares Analysis", Understanding Statistics, Vol. 3, No. 4, pp. 283-297, 2004. https://doi.org/10.1207/s15328031us0304_4
  5. J. Verzani, "Using R for Introductory Statistics", Chapman & Hall/CRC, 2004.
  6. W. W. Chin, "Issues and Opinion on Structural Equation Modeling", MIS Quarterly, Vol. 22, No. 1, pp. 7-16, 1998.
  7. B. R. Bae, "Analyses of Moderating and Mediating Effects with SPSS/AMOS/LISREL/ Smartpls", Ckbooks, 2015.
  8. C. Cassel, P. Hackl, and A. H. Westlund, "Robustness of Partial Least-Squares Method for Estimating Latent Variable Quality Structures", Journal of Applied Statistics, Vol. 26, No. 4, pp. 435-446, 1999. https://doi.org/10.1080/02664769922322
  9. H. Kim, K. H. Park, "The Impact of Collaboration Process and Capabilities on Innovation Performance in Convergence Environment", Journal of Digital Convergence, Vol. 13, No. 5, pp. 151-158, 2015. https://doi.org/10.14400/JDC.2015.13.5.151
  10. J. Henseler, C. M. Ringle, and R. R. Sinkovics, "The Use of Partial Least Squares Path Modeling in International Marketing", Advances in International Marketing(AIM), Vol. 20, pp. 277-320, 2009.
  11. Y. B. Yang, M. C. Kim, "Effect of HPM Factors on Adoption Attitude of u-Health System: Moderating Effects of Gender", Journal of Digital Convergence, Vol. 13, No. 7, pp. 213-221, 2015. https://doi.org/10.14400/JDC.2015.13.7.213
  12. L. A. Pace, "Beginning R: An Introduction to Statistical Programming", Apress, 2012.
  13. G. Grolemund, "Hands-on Programming with R: Write Your Own Functions and Simulations", O'Reilly Media, 2014.
  14. G. Sanchez, "PLS Path Modeling with R", Online, 2013.
  15. S. Y. Kim, S. J. Lee, "Effects of Smart Phone's Brand Images on Customer's Satisfaction and Loyalty: Focused on Galaxy and iPhone User Groups", Journal of Digital Convergence, Vol. 12, No. 10, pp. 223-233, 2014. https://doi.org/10.14400/JDC.2014.12.10.223
  16. E. G. Carminesa and R. A. Zeller, "Reliability and Validity Assessment", Sage Publications, 1979.
  17. C. Fornell and D. F. Larcker, "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

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