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Exploring Cognitive and Brain Development Through GALAMMs
Cognitive Neuroscience and Brain Function

Exploring Cognitive and Brain Development Through GALAMMs

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 …

Modeling Eye Movements During Decision Making
Cognitive Neuroscience and Brain Function

Peering into Decision Making: Exploration of Modeling Eye Movements

The study by Wedel, Pieters, and van der Lans (2023) reviews advancements in modeling eye movements to understand decision-making processes. Eye tracking offers valuable insights into perceptual and cognitive mechanisms, making it a powerful tool for studying how individuals evaluate and make decisions. Background Eye movement studies have been instrumental …

Sequential Generalized Likelihood Ratio Tests for Item Monitoring
Technological Advances in Psychology

Sequential Generalized Likelihood Ratio Tests for Item Monitoring

Hyeon-Ah Kang’s 2023 article in Psychometrika introduces innovative methods for monitoring item parameters in psychometric testing. With the growing prevalence of online assessments, the stability and reliability of test items are paramount. This research focuses on sequential generalized likelihood ratio tests, a technique designed to track and evaluate shifts in …