Results 11 to 20 of about 15,449 (210)
Efficient Bayesian Structural Equation Modeling in Stan
Journal of Statistical Software, 2021 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
doaj +1 more source
Bayesian Regularized SEM: Current Capabilities and Constraints
Psych, 2023 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
doaj +1 more source
Planning and performance in teams: A Bayesian meta-analytic structural equation modeling approach.
PLoS ONE, 2023 We meta-analyzed the relationship between team planning and performance moderated by task, team, context, and methodological factors. For testing our hypothesized model, we used a meta-analytic structural equation modeling approach.
Udo Konradt +2 more
doaj +1 more source
Structural Equation Modeling of Vocabulary Size and Depth Using Conventional and Bayesian Methods
Frontiers in Psychology, 2020 In classifications of vocabulary knowledge, vocabulary size and depth have often been separately conceptualized (Schmitt, 2014). Although size and depth are known to be substantially correlated, it is not clear whether they are a single construct or two ...
Rie Koizumi, Yo In’nami
doaj +1 more source
Pathogens, 2022 Pain can be present in up to 50% of people with post-COVID-19 condition. Understanding the complexity of post-COVID pain can help with better phenotyping of this post-COVID symptom.
César Fernández-de-las-Peñas +7 more
doaj +1 more source
Parameter Estimation of Structural Equation Modeling Using Bayesian Approach
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2016 Leadership is a process of influencing, directing or giving an example of employees in order to achieve the objectives of the organization and is a key element in the effectiveness of the organization.
Dewi Kurnia Sari +2 more
doaj +1 more source
Frontiers in Psychology, 2023 ObjectiveWe investigated how physical activity can be effectively promoted with a message-based intervention, by combining the explanatory power of theory-based structural equation modeling with the predictive power of data-driven artificial intelligence.
Patrizia Catellani +6 more
doaj +1 more source
The Construction of Patient Loyalty Model Using Bayesian Structural Equation Modeling Approach
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2018 The information on the health status of an individual is often gathered based on a health survey. Patient assessment on the quality of hospital services is important as a reference in improving the service so that it can increase a patient satisfaction ...
Astari Rahmadita +2 more
doaj +1 more source
Gaussian Process Panel Modeling—Machine Learning Inspired Analysis of Longitudinal Panel Data
Frontiers in Psychology, 2020 In this article, we extend the Bayesian nonparametric regression method Gaussian Process Regression to the analysis of longitudinal panel data. We call this new approach Gaussian Process Panel Modeling (GPPM).
Julian D. Karch +4 more
doaj +1 more source
Improving Service Quality of Metro Systems—A Case Study in the Beijing Metro
IEEE Access, 2020 In this study, we propose a method that combines Bayesian network, structural equation modeling, and importance-performance analyses to evaluate and improve the service quality of crowded metros from the point of service components.
Xinyue Xu +4 more
doaj +1 more source