Abstract This paper describes Guided Search 6.0 (GS6), a revised model of visual search.
When we encounter a scene, we can see something everywhere. However, we cannot …

The reporting of accurate and appropriate conclusions is an essential aspect of scientific
research, and failure in this endeavor can threaten the progress of cumulative knowledge …

Nonnormality of univariate data has been extensively examined previously (Blanca et al.,
Methodology: European Journal of Research Methods for the Behavioral and Social …

Deficits in cognitive control—that is, in the ability to withhold a default pre-potent response in
favour of a more adaptive choice—are common in depression, anxiety, addiction and other …

Wide-Ranging Coverage of Parametric Modeling in Linear and Nonlinear Mixed Effects
Models Mixed Effects Models for the Population Approach: Models, Tasks, Methods and …

Deep brain stimulation (DBS) is a circuit-oriented treatment for mental disorders.
Unfortunately, even well-conducted psychiatric DBS clinical trials have yielded inconsistent …

Empirical work and models of visual word recognition have traditionally focused on group-
level performance. Despite the emphasis on the prototypical reader, there is clear evidence …

A methodological problem in most reaction time (RT) tasks is that some measured RTs may
be outliers, being either too fast or too slow to reflect the task-related processing of interest …

The classic coefficient of variation (CV) is the ratio of the standard deviation to the mean and
can be used to compare normally distributed data with respect to their variability, this …

Repeated measures analyses of variance are the method of choice in many studies from
experimental psychology and the neurosciences. Data from these fields are often …