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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Bayesian structural equation modeling for post treatment health related quality of life among tuberculosis patients. [PDF]
BackgroundThe use of Bayesian Structural Equation Model (BSEM) to evaluate the impact of TB on self-reported health related quality of life (HRQoL) of TB patients has been not studied.ObjectiveTo identify the factors that contribute to the HRQoL of TB ...
Mahalingam Vasantha +4 more
doaj +2 more sources
Testing students' e-learning via Facebook through Bayesian structural equation modeling. [PDF]
Learning is an intentional activity, with several factors affecting students' intention to use new learning technology. Researchers have investigated technology acceptance in different contexts by developing various theories/models and testing them by a ...
Hashem Salarzadeh Jenatabadi +4 more
doaj +2 more sources
Analyzing the Effect of Factors on Individuals’ Subjective Well-Being with Quantile Bayesian Structural Equation Modeling Approach [PDF]
This study investigates factors influencing individuals’ levels of subjective well-being by examining fundamental variables, called life domains, such as satisfaction with health, education, marriage, housing district, work life, social life ...
Zübeyde Çiçek, Nuran Bayram Arlı
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Impact analysis of institutional framework and policy preferences with Bayesian structural equation. [PDF]
Mediation analysis is able to deeply analyze the finer mechanism of the path of exposure variables leading to outcome variables and has received extensive attention in many fields in recent years.
Song Jin +3 more
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Application of Bayesian structural equation modeling in construction and demolition waste management studies: Development of an extended theory of planned behavior. [PDF]
Sustainable construction and demolition waste management relies heavily on the attitudes and actions of its constituents; nevertheless, deep analysis for introducing the best estimator is rarely attained.
Nur Anisah Mohamed +5 more
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Prior Sensitivity in Bayesian Structural Equation Modeling for Sparse Factor Loading Structures. [PDF]
Liang X.
europepmc +2 more sources
Comparing Bayesian random coefficient prediction and latent interaction models for multilevel moderated mediation [PDF]
IntroductionThis study compares Bayesian random coefficient prediction (BRCP) and Bayesian latent interaction (BINT) models to detect moderated mediation effects in multilevel contexts.Materials and methodsWe evaluated the performance of these models ...
Sooyong Lee, Soyoung Kim
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Personality functioning as a pathway from childhood trauma to substance use in clinical and community samples [PDF]
BackgroundTraumatic childhood experiences are associated with an increased risk of substance abuse. It remains unclear to what extent this association is mediated by personality organization and mentalization ability across different populations.MethodA ...
Jasmin Brouschek +13 more
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IS MORAL IDENTITY EFFECTIVE IN THE RELATIONSHIP BETWEEN SELF-EFFICACY AND PSYCHOLOGICAL PROBLEMS? [PDF]
The primary purpose of this study is to design a model that examines the mediating role of moral identity in the effect of self-efficacy on stress, depression, and anxiety. For this purpose, the researcher applied three scales to 366 students enrolled in
Nesrullah Okan
doaj +1 more source

