Using multilevel models for the analysis of event-related potentials
Multilevel modeling (MLM) is becoming increasingly accessible and popular in the analysis
of event-related potentials (ERPs). In this article, we review the benefits of MLM for analyzing …
of event-related potentials (ERPs). In this article, we review the benefits of MLM for analyzing …
Best practice guidance for linear mixed-effects models in psychological science
Abstract The use of Linear Mixed-effects Models (LMMs) is set to dominate statistical
analyses in psychological science and may become the default approach to analyzing …
analyses in psychological science and may become the default approach to analyzing …
Interaction effect: Are you doing the right thing?
How to correctly interpret interaction effects has been largely discussed in scientific
literature. Nevertheless, misinterpretations are still frequently observed, and neuroscience is …
literature. Nevertheless, misinterpretations are still frequently observed, and neuroscience is …
Evidence that ageing yields improvements as well as declines across attention and executive functions
Many but not all cognitive abilities decline during ageing. Some even improve due to lifelong
experience. The critical capacities of attention and executive functions have been widely …
experience. The critical capacities of attention and executive functions have been widely …
Contrast coding choices in a decade of mixed models
Contrast coding in regression models, including mixed-effect models, changes what the
terms in the model mean. In particular, it determines whether or not model terms should be …
terms in the model mean. In particular, it determines whether or not model terms should be …
Workflow techniques for the robust use of bayes factors.
Inferences about hypotheses are ubiquitous in the cognitive sciences. Bayes factors provide
one general way to compare different hypotheses by their compatibility with the observed …
one general way to compare different hypotheses by their compatibility with the observed …
Toward a principled Bayesian workflow in cognitive science.
Experiments in research on memory, language, and in other areas of cognitive science are
increasingly being analyzed using Bayesian methods. This has been facilitated by the …
increasingly being analyzed using Bayesian methods. This has been facilitated by the …
Humans monitor learning progress in curiosity-driven exploration
Curiosity-driven learning is foundational to human cognition. By enabling humans to
autonomously decide when and what to learn, curiosity has been argued to be crucial for …
autonomously decide when and what to learn, curiosity has been argued to be crucial for …
Funny but aversive: A large-scale survey of the emotional response to Covid-19 humor in the Italian population during the lockdown
We often see an upsurge of humor inspired by tragic circumstances: this happened also
during the Coronavirus disease 2019 (Covid-19) outbreak. However, little is known about …
during the Coronavirus disease 2019 (Covid-19) outbreak. However, little is known about …
The role of the angular gyrus in semantic cognition: a synthesis of five functional neuroimaging studies
Semantic knowledge is central to human cognition. The angular gyrus (AG) is widely
considered a key brain region for semantic cognition. However, the role of the AG in …
considered a key brain region for semantic cognition. However, the role of the AG in …