Maximum Likelihood Estimation Approach using the CB-SEM Method: Case Study of Service Quality
Keywords:
SB-SEM, ML, Total Effect, SEM
Abstract
The purpose of this study to analyze the service level, satisfaction and loyalty of Sariringgung Beach visitors.Covarian based approach to estimatemaximum likelihood method in the service levelto the satisfaction and loyalty of visitorstourism area of Sariringgung Beach is used. The results of this study indicate that the direct effect of service level to satisfaction is 77%, service level to loyalty is 75%. Whereas the indirect effect of service level on loyalty through satisfaction is 38,5%. Then the total effect of service level on customer loyalty through satisfaction is 73,5%.
References
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Levene, M., & Kononovicius, A. (2021). Empirical survival Jensen-Shannon divergence as a goodness-of-fit measure for maximum likelihood estimation and curve fitting. Communications in Statistics-Simulation and Computation, 50(11), 3751–3767.
Lowry, P. B., & Gaskin, J. (2014). Partial least squares (PLS) structural equation modeling (SEM) for building and testing behavioral causal theory: When to choose it and how to use it. IEEE Transactions on Professional Communication, 57(2), 123–146.
Radam, I. F., Harianto, D., & Narang, R. I. (2022). Factors causing traffic accidents based on the trip maker perception: comparison between urban and rural roads. Journal of Southwest Jiaotong University, 57(3).
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Daryono, R. W., Ramadhan, M. A., Kholifah, N., Isnantyo, F. D., & Nurtanto, M. (2023). An empirical study to evaluate the student competency of vocational education. Int J Eval & Res Educ, 12(2), 1077–1084.
Deva, S., & Husein, U. (2017). INFLUENCE OF TRANSFER MOTIVATION AND TRAINING RETENTION TOWARDS TRAINING TRANSFER ON EMPLOYEE’S PERFORMANCE. In Russian Journal of Agricultural and Socio …. cyberleninka.ru. https://cyberleninka.ru/article/n/influence-of-transfer-motivation-and-training-retention-towards-training-transfer-on-employee-s-performance
Elias, S., Ismail, N., & Basri, B. S. (2022). The Confirmatory Factor Analysis (CFA) of E-Procurement Adoption Model in Malaysian Construction Industry. Int. J. Acad. Res. Bus. Soc. Sci, 12, 623–635.
Fang, H.-F., Susanti, H. D., Dlamini, L. P., Miao, N.-F., & Chung, M.-H. (2022). Validity and reliability of the spiritual care competency scale for oncology nurses in Taiwan. BMC Palliative Care, 21(1), 1–11.
Hair Jr, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107–123.
Hidayat, R., & Wulandari, P. (2022). Structural Equation Modelling (SEM) in Research: Narrative Literature Review. Open Access Indonesia Journal of Social Sciences, 5(6), 852–858.
Jöreskog, K. G., Olsson, U. H., Y. Wallentin, F., Jöreskog, K. G., Olsson, U. H., & Wallentin, F. Y. (2016). Structural Equation Models (SEM) with Latent Variables. Multivariate Analysis with LISREL, 341–378.
Legate, A. E., Hair Jr, J. F., Chretien, J. L., & Risher, J. J. (2023). PLS‐SEM: Prediction‐oriented solutions for HRD researchers. Human Resource Development Quarterly, 34(1), 91–109.
Levene, M., & Kononovicius, A. (2021). Empirical survival Jensen-Shannon divergence as a goodness-of-fit measure for maximum likelihood estimation and curve fitting. Communications in Statistics-Simulation and Computation, 50(11), 3751–3767.
Lowry, P. B., & Gaskin, J. (2014). Partial least squares (PLS) structural equation modeling (SEM) for building and testing behavioral causal theory: When to choose it and how to use it. IEEE Transactions on Professional Communication, 57(2), 123–146.
Radam, I. F., Harianto, D., & Narang, R. I. (2022). Factors causing traffic accidents based on the trip maker perception: comparison between urban and rural roads. Journal of Southwest Jiaotong University, 57(3).
Rasoolimanesh, S. M., Ringle, C. M., Sarstedt, M., & Olya, H. (2021). The combined use of symmetric and asymmetric approaches: Partial least squares-structural equation modeling and fuzzy-set qualitative comparative analysis. International Journal of Contemporary Hospitality Management, 33(5), 1571–1592.
Shrestha, N. (2021). Factor Analysis as a Tool for Survey Analysis. American Journal of Applied Mathematics and Statistics, 9(1), 4–11. https://doi.org/10.12691/ajams-9-1-2
Zhang, M. F., Dawson, J. F., & Kline, R. B. (2021). Evaluating the use of covariance‐based structural equation modelling with reflective measurement in organizational and management research: A review and recommendations for best practice. British Journal of Management, 32(2), 257–272.
Zyphur, M. J., Bonner, C. V, & Tay, L. (2023). Structural equation modeling in organizational research: The state of our science and some proposals for its future. Annual Review of Organizational Psychology and Organizational Behavior, 10, 495–517.
Published
2023-12-07
How to Cite
Oktavia, P. M., Setiawan, E., Nusyirwan, N., & Herawati, N. (2023). Maximum Likelihood Estimation Approach using the CB-SEM Method: Case Study of Service Quality. Sciencestatistics: Journal of Statistics, Probability, and Its Application, 1(2), 46-55. https://doi.org/10.24127/sciencestatistics.v1i2.5031
Section
Articles
