Bayesian benefits with JASP
By Maarten Marsman, Eric-Jan Wagenmakers. 2017
236 citations recorded by the source corpus.
Abstract We illustrate the Bayesian approach to data analysis using the newly developed statistical software program JASP. With JASP, researchers are able to take advantage of the benefits that the Bayesian framework has to offer in terms of parameter estimation and hypothesis testing. The Bayesian advantages are discussed using real data on the relation between Quality of Life and Executive Functioning in children with Autism Spectrum Disorder.
Subfields: Clinical Psychology, Cognitive Neuroscience, Developmental and Educational Psychology
View Paper: https://www.semanticscholar.org/paper/a71d8eeb871e7e615d9f790eb867a7d6b55056e1
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In Cognitive Neuroscience
Citations in the corpus
- Linking caregiving quality during infancy to brain activity in early childhood and later executive function (2024, methodology): “These directional hypotheses are reflected in the one-tailed Bayes p -value (Keysers et al., 2020), which is more diagnostic than a basic test for the existence of any effect, positive or negative(i.e.,atwo-tailedtest;Marsman&Wagenmakers,2017).”