Results 1 to 10 of about 68,993 (274)
Bayesian Regularized SEM: Current Capabilities and Constraints [PDF]
An important challenge in statistical modeling is to balance how well our model explains the phenomenon under investigation with the parsimony of this explanation.
Sara van Erp
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Dangers of the Defaults: A Tutorial on the Impact of Default Priors When Using Bayesian SEM With Small Samples [PDF]
When Bayesian estimation is used to analyze Structural Equation Models (SEMs), prior distributions need to be specified for all parameters in the model.
Sanne C. Smid, Sonja D. Winter
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Applying SEM, Exploratory SEM, and Bayesian SEM to Personality Assessments [PDF]
Despite the importance of demonstrating and evaluating how structural equation modeling (SEM), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM) work simultaneously, research comparing these analytic ...
Hyeri Hong +2 more
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The importance of corporate social responsibility (CSR) has increased in corporate strategic management. Thus, this study focuses on three relationships: 1) the relationship between corporate financial performance (CFP) and CSR activities (CSRA), 2) the ...
Hiroki Iwamoto, Hideo Suzuki
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Economics, social and culture are interrelated fields in developing a country. The social and cultural conditions that grow in an area affect how the economy develops in that area and its surrounding.
Frilianda Wulandari +2 more
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Correction: Hong et al. Applying SEM, Exploratory SEM, and Bayesian SEM to Personality Assessments. Psych 2024, 6, 111–134 [PDF]
Addition of an Author [...]
Hyeri Hong +2 more
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Probing beyond: The impact of model size and prior informativeness on Bayesian SEM fit indices. [PDF]
Abstract Examining how well a hypothesized model fits observed data is pivotal in Bayesian structural equation modeling (SEM). Recent efforts have aimed to formulate Bayesian SEM fit indices akin to those used in frequentist SEM. However, the assessment of these fit indices in Bayesian SEM has been limited in scope. This research entailed two
Edeh E, Liang X, Cao C.
europepmc +5 more sources
In social sciences, researchers often compare relations between constructs, referred to as “structural relations”, across a large number of groups. This paper proposes Mixture Multigroup Bayesian SEM (MixMG-BSEM), a novel method for comparing structural ...
Hongwei Zhao +2 more
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In this academic work a comparison between a Bayesian-Structural Equation Modelling (B-SEM) and a Partial Least Squares-Structural Equation Modelling (PLS-SEM) on a relationship amongst self-directed learning readiness (SDLR), E-learning readiness, and learning motivation of undergraduate students throughout the outbreak of Covid-19 is studied.
Reny Rian Marliana +2 more
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Correction: Probing beyond: The impact of model size and prior informativeness on Bayesian SEM fit indices. [PDF]
Edeh E, Liang X, Cao C.
europepmc +4 more sources

