statistical modeling - PsychoLogic

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Cognitive Neuroscience and Brain Function

Exploring Cognitive and Brain Development Through GALAMMs

by Adminupdated on December 12, 2024June 30, 2023Leave a Comment

Sørensen, Fjell, and Walhovd’s 2023 research introduces Generalized Additive Latent and Mixed Models (GALAMMs), a methodological advancement designed for analyzing complex clustered data. This approach holds particular relevance for cognitive neuroscience, offering robust tools for examining how cognitive and neural traits develop over time. Background Traditional models used in cognitive …

Decoding Prior Sensitivity in Bayesian Structural Equation Modeling for Sparse Factor Loading Structures

Statistical Methods and Data Analysis

Understanding Prior Sensitivity in Bayesian Structural Equation Modeling

by Adminupdated on December 13, 2024December 5, 2020Leave a Comment

Liang’s (2020) study on Bayesian Structural Equation Modeling (BSEM) focuses on the use of small-variance normal distribution priors (BSEM-N) for analyzing sparse factor loading structures. This research provides insights into how different priors affect model performance, offering valuable guidance for researchers employing BSEM in their work. Background Bayesian Structural Equation …