Background Some studies suggest that children with language and learning disorders (LLDs) show more internalizing and externalizing problems than their peers. However, the …
Background An appropriate sample size is essential for obtaining a precise and reliable outcome of a study. In machine learning (ML), studies with inadequate samples suffer from …
We evaluated 1038 of the most cited structural and functional (fMRI) magnetic resonance brain imaging papers (1161 studies) published during 1990–2012 and 270 papers (300 …
Numerous neuroimaging studies have investigated the neural basis of interindividual differences but the replicability of brain–phenotype associations remains largely unknown …
Individual differences in cognitive paradigms are increasingly employed to relate cognition to brain structure, chemistry, and function. However, such efforts are often unfruitful, even …
Despite a growing body of research suggesting that task-based functional magnetic resonance imaging (fMRI) studies often suffer from a lack of statistical power due to too …
JCF De Winter - Practical Assessment, Research, and …, 2019 - scholarworks.umass.edu
Researchers occasionally have to work with an extremely small sample size, defined herein as N ≤ 5. Some methodologists have cautioned against using the t-test when the sample …
CL Grady, JR Rieck, D Nichol… - Human Brain …, 2021 - Wiley Online Library
Limited statistical power due to small sample sizes is a problem in fMRI research. Most of the work to date has examined the impact of sample size on task‐related activation, with less …
The relations between video-game experience and cognitive abilities were examined in the current study. In two experiments, subjects performed a number of working memory, fluid …