TY - GEN
T1 - Comparative approach on structural equation modeling software applications
AU - Sandoval, Rosmery Ramos
AU - Ramos-Diaz, Jano
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/6
Y1 - 2018/11/6
N2 - 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.
AB - 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.
KW - CB-SEM
KW - PLS-SEM
KW - Structural equation model
KW - college engineering students
UR - https://www.scopus.com/pages/publications/85058043307
U2 - 10.1109/INTERCON.2018.8526448
DO - 10.1109/INTERCON.2018.8526448
M3 - Conference contribution
AN - SCOPUS:85058043307
T3 - Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
BT - Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
T2 - 25th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
Y2 - 8 August 2018 through 10 August 2018
ER -