Event‐related potentials (ERPs) can be very noisy, and yet, there is no widely accepted
metric of ERP data quality. Here, we propose a universal measure of data quality for ERP …

Event-related brain potentials (ERPs) represent direct measures of neural activity that are
leveraged to understand cognitive, affective, sensory, and motor processes. Every ERP …

There is considerable variability in the quantification of event‐related potential (ERP)
amplitudes and latencies. We examined susceptibility of ERP quantification measures to …

ERPs are widely and increasingly used to address questions in psychophysiological
research. As discussed in this special issue, a renewed focus on questions of reliability and …

In studies of event-related brain potentials (ERPs), numerous decisions about data
processing are required to extract ERP scores from continuous data. Unfortunately, the …

Researchers in clinical psychophysiology make several methodological decisions during
the analysis of event-related potentials (ERPs). In the current study, we review these choices …

Failing to consider psychometric issues related to reliability and validity, differential deficits,
and statistical power potentially undermines the conclusions of a study. In research using …

Generalizability theory (G theory) provides a flexible, multifaceted approach to estimating
score reliability. G theory's approach to estimating score reliability has important advantages …

Event-related potentials (ERPs) are noninvasive measures of human brain activity that index
a range of sensory, cognitive, affective, and motor processes. Despite their broad application …

A companion paper introduced the rERP framework, which recasts traditional event‐related
potential (ERP) averaging as a special case of a more flexible regression‐based approach …