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The dependability of electrophysiological measurements of performance monitoring in a clinical sample: A generalizability and decision analysis of the ERN and Pe.

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TLDR
This study used generalizability theory, which extends the ideas of classical test theory, as a framework for evaluating the influence of psychopathology and number of trials on dependability of measurement in ERPs.
Abstract
Psychometric studies of the ERN, CRN, Pe, and Pc ERPs are increasing. Coherent integration of these results is difficult with classical test theory because the definition of error depends on the measure of reliability. This study used generalizability theory, which extends the ideas of classical test theory, as a framework for evaluating the influence of psychopathology and number of trials on dependability of measurement. Participants included 34 people meeting criteria for major depression, 29 meeting criteria for an anxiety disorder, and 319 controls. For all ERPs, within-person variance was larger than between-person variance across groups, indicating many trials are needed for adequate dependability (at least 13). Slightly fewer trials were needed to achieve adequate dependability in the control group than the pathology groups. Regions of interest had higher dependability than single sensors.

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Citations
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Journal ArticleDOI

Error-related brain activity in the age of RDoC: A review of the literature.

TL;DR: The ERN is introduced and evidence related to its psychometric properties, as well as important task differences, are discussed and the implications of one unit of measurement appearing in multiple RDoC dimensions are discussed.
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ERP Reliability Analysis (ERA) Toolbox: An open-source toolbox for analyzing the reliability of event-related brain potentials.

TL;DR: A detailed description of the conceptual framework of G theory is provided using examples relevant to ERP researchers, the algorithms needed to estimate ERP score reliability are presented, and a detailed walkthrough of newly-developed software, the ERP Reliability Analysis (ERA) Toolbox, that calculates score reliability using G theory are provided.
Journal ArticleDOI

Psychometric considerations in the measurement of event-related brain potentials: Guidelines for measurement and reporting.

TL;DR: The present review considers the contextual factors that influence ERP score reliability and the downstream effects that reliability has on statistical analyses and advocates the use of generalizability theory for estimating score dependability as an improvement on classical test theory reliability estimates, suggesting that the latter is less well suited to ERP research.
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Psychometrics and the neuroscience of individual differences: Internal consistency limits between-subjects effects.

TL;DR: How variability in the internal consistency of neural measures limits between-subjects (i.e., individual differences) effects is demonstrated and internal consistency reliability should be routinely reported in all individual differences studies.
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Reward sensitivity following boredom and cognitive effort: A high-powered neurophysiological investigation

TL;DR: Phenomenologically, participants in the boredom condition reported more fatigue than those in the cognitive effort condition, despite reporting exerting less effort, and neural and methodological implications for ego depletion research, including issues of replicability, are discussed.
References
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Journal ArticleDOI

Inference from Iterative Simulation Using Multiple Sequences

TL;DR: The focus is on applied inference for Bayesian posterior distributions in real problems, which often tend toward normal- ity after transformations and marginalization, and the results are derived as normal-theory approximations to exact Bayesian inference, conditional on the observed simulations.
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Effects of noise letters upon the identification of a target letter in a nonsearch task

TL;DR: In this paper, a 1-sec tachistoscopic exposure, Ss responded with a right or left leverpress to a single target letter from the sets H and K or S and C. The target always appeared directly above the fixation cross.
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The Endophenotype Concept in Psychiatry: Etymology and Strategic Intentions

TL;DR: The authors discuss the etymology and strategy behind the use of endophenotypes in neuropsychiatric research and, more generally, in research on other diseases with complex genetics.
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The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity.

TL;DR: This paper presented a unified account of two neural systems concerned with the development and expression of adaptive behaviors: a mesencephalic dopamine system for reinforcement learning and a generic error-processing system associated with the anterior cingulate cortex.
Journal ArticleDOI

Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)

Andrew Gelman
- 01 Sep 2006 - 
TL;DR: In this paper, a folded-noncentral-$t$ family of conditionally conjugate priors for hierarchical standard deviation parameters is proposed, and weakly informative priors in this family are considered.
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