Volume 52, Issue 6 pp. 790-800
Original Article

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

Scott A. Baldwin

Corresponding Author

Scott A. Baldwin

Department of Psychology, Brigham Young University, Provo, Utah, USA

Address correspondence to: Scott A. Baldwin, 268 TLRB, Department of Psychology, Brigham Young University, Provo, UT 84660. E-mail: [email protected]Search for more papers by this author
Michael J. Larson

Michael J. Larson

Department of Psychology, Brigham Young University, Provo, Utah, USA

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Peter E. Clayson

Peter E. Clayson

Department of Psychology, University of California, Los Angeles, Los Angeles, California, USA

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First published: 07 January 2015
Citations: 74
This research was supported by the Brigham Young University College of Family, Home, and Social Sciences.

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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