Results 11 to 20 of about 18,663 (244)
Updated morphological description and molecular analysis of Neoechinorhynchus (Neoechinorhynchus) iraqensis (Acanthocephala: Neoechinorhynchidae) from Planiliza abu (Heckel) (Mugilidae) in Iraq [PDF]
The original description of Neoechinorhynchus (N.) iraqensis Amin, Al-Sady, Mhaisen, Bassat, 2001, from Planiliza abu (Heckel) in the Euphrates River, Iraq, is updated and completed, for the first time, using ocular microscopy and SEM, despite its ...
AMIN O. M. +7 more
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Analysis of factors influencing hemorrhagic fever with renal syndrome and its prediction in Weifang, China from 2013 to 2021 [PDF]
Objectives This study aimed to analyze the epidemiology and trends of hemorrhagic fever with renal syndrome (HFRS) in Weifang, China (2013–2021) and to guide prevention strategies. Methods The study examined the prevalence and incidence trends of HFRS in
Hui Zhang +6 more
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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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Efficient Bayesian Structural Equation Modeling in Stan
Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof.
Edgar C. Merkle +3 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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The SEM Reliability Paradox in a Bayesian Framework
Within the frequentist structural equation modeling (SEM) framework, adjudicating model quality through measures of fit has been an active area of methodological research. Complicating this conversation is research revealing that a higher quality measurement portion of a SEM can result in poorer estimates of overall model fit than lower quality ...
Timothy R. Konold, Elizabeth A. Sanders
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Opaque Prior Distributions in Bayesian Latent Variable Models
We review common situations in Bayesian latent variable models where the prior distribution that a researcher specifies differs from the prior distribution used during estimation.
Edgar C. Merkle +3 more
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The Effect of Risk Dimensions on the Objectives of Construction Projects in Isfahan Municipality: An Integrated SEM and BBN Analysis [PDF]
Population growth and the subsequent surge in urbanization has drastically increased the number of construction projects in metropolitan cities implementation and management of which may involve numerous ambiguous and unknown issues or risks that can ...
Amir Hossein Nadali Jelokhani +3 more
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Bayesian regression methods that incorporate different mixture priors for marker effects are used in multi-trait genomic prediction. These methods can also be extended to genome-wide association studies (GWAS).
Zigui Wang +3 more
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Implementation Aspects in Regularized Structural Equation Models
This article reviews several implementation aspects in estimating regularized single-group and multiple-group structural equation models (SEM). It is demonstrated that approximate estimation approaches that rely on a differentiable approximation of non ...
Alexander Robitzsch
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