Results 211 to 220 of about 16,460 (260)
A comparison between structural equation modelling (SEM) and Bayesian SEM approaches on in-store behaviour [PDF]
Industrial Management and Data Systems, 2018 Purpose The purpose of this paper is to examine the effects of atmospherics and affective state on shoppers’ in-store behaviour using the two approaches in structural equation modelling (SEM), i.e. Frequentist and Bayesian approaches. Shoppers’ affective state was tested for its mediating effect on in-store shopping behaviour.
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SEM: Structural Equation Modeling in Molecular Biology
Biophysics, 2018Structural equation modeling (SEM) is a second-generation multivariate method to estimate the causal interactions in a set of variables and includes, as special cases, several statistical methods (regression analysis, path analysis, and confirmatory factor analysis). This review focuses on all of the main SEM models and various methods used to optimize
A. A. Igolkina, M. G. Samsonova
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Review of structural equation modeling (SEM) applications
2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013Structural Equation Modeling (SEM) is a statistical method that states the relation between observation variables and latent variables or among the latent variables by linear equation system. Currently, SEM is being used widely in many fields. The article presents the applications of SEM in recent years so as to give help for people to study and use it
Ying Zhang, Xuebo Chen, Qiubai Sun
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Abstract: Revisiting the Model Size Effect in Structural Equation Modeling (SEM)
Multivariate Behavioral Research, 2015It is generally believed that fitting a large SEM model with moderate to small sample sizes results in a likelihood ratio statistic distribution with inflated Type I error rate, thus poorly approxi...
Dexin, Shi, Taehun, Lee, Robert A, Terry
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A conceptual overview of Structural Equation Modeling (SEM) in rehabilitation research
Work, 2013Structural Equation Modeling (SEM) is a collection of statistical techniques used to determine the degree to which a proposed theoretical model is supported by data. SEM has been growing in various disciplines as well as in rehabilitation research. It is the goal of this introduction to provide a conceptual overview of SEM.
William R, Merchant +3 more
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Assessing the Validity and Reliability of a Measurement Model in Structural Equation Modeling (SEM)
British Journal of Mathematics & Computer Science, 2016This work was carried out in collaboration between all authors. Author SA designed the study, wrote the protocol and supervised the work. Authors NNAZ and FIK carried out all laboratories work and performed the statistical analysis. Author NNAZ managed the analyses of the study. Author SA wrote the first draft of the manuscript.
Sabri Ahmad +2 more
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Structural equation modeling using the SEM Builder and the sem command [PDF]
, 2012 In this talk, I will give a brief introduction to structural equation modeling (SEM) and Stata’s sem command. I will also introduce the SEM Builder—the graphical user interface for drawing path diagrams, fitting structural equation models, and analyzing the results.
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Applying Structural Equation Modeling (SEM) in Educational Research
2013The use of Structural Equation Modeling (SEM) in research has increased in psychology, sociology, education, and economics since it was first conceived by Wright (1918), a biometrician who was credited with the development of path analysis to analyze genetic theory in biology (Teo & Khine, 2009). In the 1970s, SEM enjoyed a renaissance, particularly in
Timothy Teo +2 more
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