At the heart of science is measurement, and the quality of measurements limits the quality of the resulting conclusions. In psychiatric research, the most common measurement has traditionally been through self-report, using scales that assess the degree and frequency of psychiatric symptoms. However, self-report has largely been eschewed within biological and computational psychiatry for lacking the ability to provide mechanistic insights into the disorders in question. Instead, researchers now focus primarily on task-based measures of behavior combined with model-based analyses. This approach is thought to allow a deeper insight into the underlying neural and computational mechanisms whose dysfunction ultimately gives rise to psychiatric s...
This study aimed to build on the relationship of well-established self-report and behavioral assessm...
Psychiatric researchers typically assume that the modelling of psychiatric symptoms is not influence...
Computational modeling has been applied for data analysis in psychology, neuroscience, and psychiatr...
At the heart of science is measurement, and the quality of measurements limits the quality of the re...
Awareness of illness is a major factor in schizophrenia and extends into unawareness of cognitive an...
Measuring psychological abilities or traits is trickier than it seems from the published literatures...
Psychological science relies on behavioral measures to assess cognitive processing; however, the fie...
While the role of impaired cognition in accounting for functional outcome in schizophrenia is genera...
Background: Although executive functioning is often measured using performance-based measures, these...
The Research Domain Criteria (RDoC) model, one of the transdiagnostic dimensional models of psychopa...
The goal of the current study was to examine the relationships between insight and both cognitive fu...
The Research Domain Criteria (RDoC) model, one of the transdiagnostic dimensional models of psychopa...
Cognitive tasks that are too hard or too easy produce imprecise measurements of ability, which, in t...
The Research Domain Criteria (RDoC) initiative aims to organize research according to domains of bra...
In response to shortcomings with the current categorical diagnostic classification system for mental...
This study aimed to build on the relationship of well-established self-report and behavioral assessm...
Psychiatric researchers typically assume that the modelling of psychiatric symptoms is not influence...
Computational modeling has been applied for data analysis in psychology, neuroscience, and psychiatr...
At the heart of science is measurement, and the quality of measurements limits the quality of the re...
Awareness of illness is a major factor in schizophrenia and extends into unawareness of cognitive an...
Measuring psychological abilities or traits is trickier than it seems from the published literatures...
Psychological science relies on behavioral measures to assess cognitive processing; however, the fie...
While the role of impaired cognition in accounting for functional outcome in schizophrenia is genera...
Background: Although executive functioning is often measured using performance-based measures, these...
The Research Domain Criteria (RDoC) model, one of the transdiagnostic dimensional models of psychopa...
The goal of the current study was to examine the relationships between insight and both cognitive fu...
The Research Domain Criteria (RDoC) model, one of the transdiagnostic dimensional models of psychopa...
Cognitive tasks that are too hard or too easy produce imprecise measurements of ability, which, in t...
The Research Domain Criteria (RDoC) initiative aims to organize research according to domains of bra...
In response to shortcomings with the current categorical diagnostic classification system for mental...
This study aimed to build on the relationship of well-established self-report and behavioral assessm...
Psychiatric researchers typically assume that the modelling of psychiatric symptoms is not influence...
Computational modeling has been applied for data analysis in psychology, neuroscience, and psychiatr...