An Introduction to Structural Equation Modeling
By Arie Hasman. International Conference on Informatics, Management and Technology in Healthcare, 2015
1,692 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/5f0809f5a6a1d2c55a737757e57882f5b51c7607
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In Artificial Intelligence
- M. Yurdakul
- Joseph F. Hair
- Margaret Ross
- David M. Shannon
- Barry J. Babin
- Chih-hsuan Wang
- Y. Chiu
- Halim Kazan
Citations in the corpus
- Framework for understanding marine ecosystem health (2013, methodology): “…variables SEM (Structural Equation Modelling): a statistical method aimed at eliciting a group of factors, and connections or relations, that best fits a data set (Hox & Bechger 1998) (Ecosystem) services: the natural capitals (e.g. fish stocks) and functions (e.g. nutrient cycling) used to…”
- Covariance-Based Structural Equation Modeling in the Journal of Advertising: Review and Recommendations (2017, background): “Thus, the structure is evidenced in the covariance (or correlation, if standardization is used) and its derivatives including factor-loading matrices and covariances among unobservables (Hox and Bechger 1998).”
- Effects of Eco-Innovation on Economic and Environmental Performance: Evidence from Turkey’s Manufacturing Companies (2020, methodology): “Statistically, the model is based on the “Data = Model + Error” equation [56].”
- Students’ characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning (2013, methodology): “The researchers need to conduct a sequence of model modi fi cation, add or remove one path at a time, and re-evaluate the model until they reach an adequate fi t (Hox & Bechger, 1998).”
- The Simple View of Reading Across Development: Prediction of Grade 3 Reading Comprehension From Prekindergarten Skills (2018, methodology): “…& Cudeck, 1993; MacCallum & Austin, 2000), the standardized root mean square residual (SRMR) for which values of less than .05 indicate good fit (Byrne, 2012), and the comparative fit index (CFI) and the nonnormed fit index (NNFI) for which values greater than .90 indicate good fit (Lomax, 2013).”