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Gyeongcheol Cho; Heungsun Hwang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Generalized structured component analysis (GSCA) is a multivariate method for specifying and examining interrelationships between observed variables and components. Despite its data-analytic flexibility honed over the decade, GSCA always defines every component as a linear function of observed variables, which can be less optimal when observed…
Descriptors: Prediction, Methods, Networks, Simulation
Ke-Hai Yuan; Zhiyong Zhang – Grantee Submission, 2022
Structural equation modeling (SEM) is a widely used technique for studies involving latent constructs. While covariance-based SEM (CB-SEM) permits estimating the regression relationship among latent constructs, the parameters governing this relationship do not apply to that among the scored values of the constructs, which are needed for…
Descriptors: Psychometrics, Structural Equation Models, Scores, Least Squares Statistics
Ke-Hai Yuan; Yongfei Fang – Grantee Submission, 2023
Observational data typically contain measurement errors. Covariance-based structural equation modelling (CB-SEM) is capable of modelling measurement errors and yields consistent parameter estimates. In contrast, methods of regression analysis using weighted composites as well as a partial least squares approach to SEM facilitate the prediction and…
Descriptors: Structural Equation Models, Regression (Statistics), Weighted Scores, Comparative Analysis
Alshurideh, Muhammad; Al Kurdi, Barween; Salloum, Said A.; Arpaci, Ibrahim; Al-Emran, Mostafa – Interactive Learning Environments, 2023
Despite the plethora of m-learning acceptance studies, few have tackled the importance of examining the actual use of m-learning systems from the lenses of social influence, expectation-confirmation, and satisfaction. Additionally, most of the prior technology adoption literature tends to use the structural equation modeling (SEM) technique in…
Descriptors: Electronic Learning, Prediction, Least Squares Statistics, Structural Equation Models
Lin, Shinyi; Hung, Tze-Chien; Lee, Chia-Tsung – Journal of Educational Computing Research, 2015
With the community of inquiry framework, this study seeks to explore the relationship among forms of presence, self-efficacy, and training effectiveness. A total of 210 working professionals participated to the study via online survey and email communication with a valid response rate of 29.53%. The technique of partial least square was used to…
Descriptors: Self Efficacy, Correlation, Online Surveys, Electronic Mail
Cheon, Jongpil; Coward, Fanni; Song, Jaeki; Lim, Sunho – Research in the Schools, 2012
Classrooms full of "digital natives" represent the norm in U. S. schools, but like their predecessors, they mostly inhabit spaces characterized by a traditional view of teaching and learning. Understanding contributors to this mismatch, and especially teachers' role, is especially critical as Web 2.0 technologies enable greater learner…
Descriptors: Preservice Teachers, Web 2.0 Technologies, Technology Uses in Education, Educational Technology