Four-criterion selection of neuropsychological measures for portable classroom EEG¶
Research Method · All research methods
Evidence · no claims cited
Description¶
The article proposes screening candidate neuro-psychological measures against four criteria: potential to add unique information about challenge and threat states, compatibility with portable EEG devices, a strong empirical and theoretical basis for inference from EEG data, and the ability to remain meaningful when aggregated over time in observational studies. Applying these criteria iteratively led to selecting alpha-based internal attention and theta-based working memory activity.
Accounts¶
- Select neuro-psychological measures against four explicit criteria before classroom EEG studies: The article proposes screening candidate neuro-psychological measures against four criteria: potential to add unique information about challenge and threat states, compatibility with portable EEG devices, a strong empirical and theoretical basis for inference from EEG data, and the ability to remain meaningful when aggregated over time in observational studies. Applying these criteria iteratively led to selecting alpha-based internal attention and theta-based working memory activity. (Kennett et al. (2025))
Claims¶
Related Research Methods¶
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Key Sources¶
- Kennett, R., Martin, A. J., Pearson, J., Burns, E. C., & Collie, R. (2025). Challenge and Threat Appraisal of Tests in High School: Integrating Educational Psychology and Biopsychology Improves Understanding of How Students Take Tests. Journal of Educational Psychology. https://doi.org/10.1037/edu0000964.supp
Page metadata
| Field | Value |
|---|---|
type |
research-method |
id |
four-criterion-selection-of-neuropsychological-measures-for-portable-classroom-eeg |
title |
Four-criterion selection of neuropsychological measures for portable classroom EEG |
description |
The article proposes screening candidate neuro-psychological measures against four criteria: potential to add unique information about challenge and threat states, compatibility with portable EEG devices, a strong empirical and theoretical basis for inference from EEG data, and the ability to remain |
status |
review |
generated |
by process:settle-candidates on 2026-10-23 |
trust |
unverified — no one has confirmed this page's content |
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