Peter E Clayson
Biographic Data
| ID | 1756616 |
|---|---|
| NAME | Peter E Clayson |
| GIVEN NAMES | Peter E |
| FAMILY NAME | Clayson |
| SIGNATURE | CLAYSON P E |
| AFFILIATIONS | University of South Florida |
| ORCID | 0000-0003-4437-6598 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement
Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in psychological and behavioural data. The main focus of this work is to extend G‐theory using a mixed‐effects loca…
Translating neurophysiological biomarkers into clinical tools
Clinical neuroscience seeks reliable biomarkers for psychiatric diagnosis, prognosis, and treatment, but translation has stalled because replication is inconsistent, theory is incomplete, and links to psychological processes are unclear. These shortcomings largely stem from inadequate attention to psychometric principles. This review focuses on event-related potentials and shows how assessment of reliability and validity, as well as optimization …
One hundred years of EEG for brain and behaviour research
No prominent works on this page.
One hundred years of EEG for brain and behaviour research
Translating neurophysiological biomarkers into clinical tools
Clinical neuroscience seeks reliable biomarkers for psychiatric diagnosis, prognosis, and treatment, but translation has stalled because replication is inconsistent, theory is incomplete, and links to psychological processes are unclear. These shortcomings largely stem from inadequate attention to psychometric principles. This review focuses on event-related potentials and shows how assessment of reliability and validity, as well as optimization …
Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement
Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in psychological and behavioural data. The main focus of this work is to extend G‐theory using a mixed‐effects loca…
Mental Health Research Topics (2 works) · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 work) · Biomarker (1 work) · Blueprint (1 work) · Cognition (1 work) · Cognitive psychology (1 work) · Cognitive science (1 work) · Democracy (1 work) · Democratization (1 work) · Dependability (1 work)