Although sample size calculations play an essential role in health research, published
research often fails to report sample size selection. This study aims to explain the …

The popular brain monitoring method of electroencephalography (EEG) has seen a surge in
commercial attention in recent years, focusing mostly on hardware miniaturization. This has …

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 …

Magnetic resonance imaging (MRI) has transformed our understanding of the human brain
through well-replicated map** of abilities to specific structures (for example, lesion …

Neuroimaging research has been at the forefront of concerns regarding the failure of
experimental findings to replicate. In the study of brain-behavior relationships, past failures …

Replicability is an important feature of scientific research, but aspects of contemporary
research culture, such as an emphasis on novelty, can make replicability seem less …

An important step when designing an empirical study is to justify the sample size that will be
collected. The key aim of a sample size justification for such studies is to explain how the …

What are the brain structural correlates of interindividual differences in behaviour? More
than a decade ago, advances in structural MRI opened promising new avenues to address …

Power analysis for first-order interactions poses two challenges:(a) Conducting an
appropriate power analysis is difficult because the typical expected effect size of an …

Replication—an important, uncommon, and misunderstood practice—is gaining
appreciation in psychology. Achieving replicability is important for making research …