Structural equation modeling (SEM) of kidney function markers and longitudinal CVD risk assessment [PDF]
PLoS ONE, 2023 Lower kidney function is known to enhance cardiovascular disease (CVD) risk. It is unclear which estimated glomerular filtration rate (eGFR) equation best predict an increased CVD risk and if prediction can be improved by integration of multiple kidney ...
Ryosuke Fujii +7 more
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Structural Equation Modeling (SEM) [PDF]
Marketing Analytics, 2005 Member, American Statistical Association; Institute of Mathematical Statistics; International Academy of Sex Research; Psychometric Society; Society of Multivariate Experimental Psychology.
J. D. de Mesquita, E. Kostelijk
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Penerapan Structural Equation Modeling (SEM) dalam Bidang Pendidikan
Sainsmat, 2012 DOWNLOAD PDFThis study discusses the application of SEM in the field of education on the relationship between quality of service (ξ1), satisfaction (η1), confidence (η2) and loyalty (η3) are also basic concepts SEM, structural equation modeling and make ...
Faihatuz Zuhairoh
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Investigating Graduate Students’ Experiences through Structural Equation Modeling (SEM)
Trends in Higher Education, 2023 This study used structural equation modeling (SEM) to investigate the role of graduate students’ experiences of microaffirmations, microaggressions, financial concerns, and mentor support (exogenous variables) on their perceptions of imposter syndrome ...
Karen M. Collier, Margaret R. Blanchard
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Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R
Business, 2021 Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and ...
Hair, Joseph F. +5 more
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lavaan : An R Package for Structural Equation Modeling
Journal of Statistical Software, 2012 Structural equation modeling (SEM) is a vast field and widely used by many applied researchers in the social and behavioral sciences. Over the years, many software packages for structural equation modeling have been developed, both free and commercial ...
Yves Rosseel
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Editorial: The use of Structural Equation Modeling (SEM) methods in eating behavior research [PDF]
Frontiers in PsychologyEdward Wilson Ansah +2 more
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Hidden Curriculum Components, Learners’ National Identity, and Self-Efficacy: A Model for Iranian EFL Teachers [PDF]
Issues in Language Teaching, 2021 Much of what educators address is the overt curriculum; however, there is a hidden curriculum that affects education in a very profound manner.
Zeinab Sazegar +2 more
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A comparative study on the performance of maximum likelihood, generalized least square, scale-free least square, partial least square and consistent partial least square estimators in structural equation modeling [PDF]
International Journal of Data and Network Science, 2022 Structural equation modeling offers various estimation methods for estimating parameters. The most used method in covariance-based structural equation modeling (CB-SEM) is the maximum likelihood (ML) estimator.
Raudhah Zulkifli +3 more
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Assessing perceptions of COVID-19 self-protective measures: a structural equation modeling (SEM) approach [PDF]
Journal of Health Research, 2021 Purpose – This study aimed to develop scales to assess perceptions of coronavirus disease 2019 (COVID-19) self-protective measures (SPMs) and examine the psychometric properties based on the theory of planned behavior (TPB). Design/methodology/approach –
Sangeeta Mehrolia +2 more
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