Comparative approach on structural equation modeling software applications

Rosmery Ramos Sandoval, Jano Ramos-Diaz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Structural Equation Model (SEM) has become in one of the most useful tools in causal modeling research, which is commonly implemented in multidisciplinary areas such as business, medicine, etc. In the last years, attention to multivariate analyses has been growing and this may lead the increase of modeling approaches in the scientific literature. The purpose of the present study was to evaluate the advantages and disadvantages of using two different software applications usually employ to assess SEM modeling. We assessed a specific model designed to evaluate career development and factors that influence engineering student's persistence at three universities from the North of Lima. The first model was measured by Covariance Basic SEM (CB-SEM) approach through AMOS software, while the second model was measured by Partial Least Squares SEM (PLS-SEM) approach through SmartPLS software.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
ISBN (Electronic)9781538654903
DOIs
StatePublished - 6 Nov 2018
Externally publishedYes
Event25th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018 - Lima, Peru
Duration: 8 Aug 201810 Aug 2018

Publication series

NameProceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018

Conference

Conference25th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
Country/TerritoryPeru
CityLima
Period8/08/1810/08/18

Keywords

  • CB-SEM
  • PLS-SEM
  • Structural equation model
  • college engineering students

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