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Utilization of R Program for the Partial Least Square Model: Comparison of SmartPLS and R
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  • Journal title : Journal of Digital Convergence
  • Volume 13, Issue 12,  2015, pp.117-124
  • Publisher : The Society of Digital Policy and Management
  • DOI : 10.14400/JDC.2015.13.12.117
 Title & Authors
Utilization of R Program for the Partial Least Square Model: Comparison of SmartPLS and R
Kim, Yong-Tae; Lee, Sang-Jun;
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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.
 Keywords
Structural Equation Model;Partial Least Square;R;SmartPLS;Quantitative Convergence Analysis;
 Language
Korean
 Cited by
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