SPR 2019 Symposium: Methodological Rigor and Multi-Site Replications in Psychophysiology

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Description: The reproducibility, replicability, and robustness of findings in psychological science have led to a perceived crisis. The purpose of this symposium is to identify barriers to the replicability of psychophysiological data and to provide recommendations for improving psychophysiology research practices. The symposium begins with Carbine reporting the sample sizes and statistical power that are common in studies of event-related brain potentials (ERPs) and highlighting the importance of a priori power calculations. Clayson then discusses how researchers are not reporting all the necessary data collection and processing steps outlined in the ERP methodology guidelines published in 2014, which is a barrier to replication studies. Sandre provides an example of the impact of various processing pipelines on error-related negativity (ERN) scores, psychometrics, and relationships with external correlates. One recommendation for improving replicability and robustness of research to is to conduct large multi-site studies. The symposium concludes with two presentations that cover the results and challenges of such studies. Bauer presents on a multi-site replication of the relationship between intolerance of uncertainty and threat generalization using skin conductance responses (SCR) and ERPs. Moser reports on a multi-site replication of the relationship between ERN and worry. Together, these presentations highlight challenges to the reproducibility, replicability, and robustness of psychophysiological findings and provide recommendations for best practices moving forward.


Methodological Rigor and Multi-Site Replications in Psychophysiology: Challenges and Recommendations Sesison Chairs: Peter E. Clayson & Michael J. Larson Discussant: Andreas Keil Sample Sizes, Sample Size Calculations, and Statistical Power in ERP Research: Concerns and Barriers for Replicability Kaylie A. Carbine, Peter E. Clayson, Scott A. Baldwin, & Michael J. Larson Manuscript, Preprint Method...


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